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9,146,992 | 1 | 4 |
1. A system comprising: a client device comprising one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving, by the client device, a web resource from a server; determining, by the client device, that the web resource includes a particular trigger term, from among a predefined set of trigger terms that are associated with answer box search queries, wherein an answer box search query is a search query for which a search engine responds with an answer to a search query instead of with links to web resources; generating, by the client device, a modified version of the web resource, wherein the modified version of the web resource includes an answer box gadget in association with the particular trigger term; providing, by the client device, the modified version of the web resources, including the answer box gadget, for display to a user of the client device; determining, by the client device, that the user has selected the answer box gadget; in response to determining that the user has selected the answer box gadget, transmitting, by the client device, an answer box search query to the search engine, wherein the answer box search query indicates the particular trigger term; receiving, by the client device, an answer to the answer box search query from the search engine; and providing, by the client device, a representation of the answer to the answer box search query for display.
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1. A system comprising: a client device comprising one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving, by the client device, a web resource from a server; determining, by the client device, that the web resource includes a particular trigger term, from among a predefined set of trigger terms that are associated with answer box search queries, wherein an answer box search query is a search query for which a search engine responds with an answer to a search query instead of with links to web resources; generating, by the client device, a modified version of the web resource, wherein the modified version of the web resource includes an answer box gadget in association with the particular trigger term; providing, by the client device, the modified version of the web resources, including the answer box gadget, for display to a user of the client device; determining, by the client device, that the user has selected the answer box gadget; in response to determining that the user has selected the answer box gadget, transmitting, by the client device, an answer box search query to the search engine, wherein the answer box search query indicates the particular trigger term; receiving, by the client device, an answer to the answer box search query from the search engine; and providing, by the client device, a representation of the answer to the answer box search query for display. 4. The system of claim 1 , wherein determining that the user has selected the answer box gadget further comprises detecting that the user has selected a hyperlink associated with the particular trigger term, that the user has selected an icon that is displayed adjacent to the particular trigger term, or that a mouse event has occurred in connection with the particular trigger term.
| 0.527094 |
7,788,245 | 1 | 2 |
1. A method of processing a document to include embedded search engine links, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving content from a remote computer, wherein said content forms at least part of a document; determining one or more search terms based on said content; generating one or more search engine links corresponding to at least some of the one or more search terms, wherein a respective search engine link is a link to invoke performance of a search by a search engine that is separate and distinct from the remote computer, wherein the respective search engine link is a link to the search engine, wherein the respective search engine link includes at least some of the one or more search terms, and wherein the search is based on respective search terms identified by the respective search engine link; and transmitting said one or more search engine links to the remote computer for embedding into said document.
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1. A method of processing a document to include embedded search engine links, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving content from a remote computer, wherein said content forms at least part of a document; determining one or more search terms based on said content; generating one or more search engine links corresponding to at least some of the one or more search terms, wherein a respective search engine link is a link to invoke performance of a search by a search engine that is separate and distinct from the remote computer, wherein the respective search engine link is a link to the search engine, wherein the respective search engine link includes at least some of the one or more search terms, and wherein the search is based on respective search terms identified by the respective search engine link; and transmitting said one or more search engine links to the remote computer for embedding into said document. 2. The method of claim 1 , further comprising, after said generating, parsing said content for said at least some of the one or more search terms.
| 0.785294 |
9,201,965 | 1 | 3 |
1. A method, comprising: receiving data propagating in a network environment; ignoring Joint Photographic Experts Group (JPEG) documents in the data; identifying an audio and video media file in the data, wherein the audio and video media file is associated with a plurality of individuals; generating a text file based on the audio and video media file; comparing the text file to a plurality of blacklisted words; dropping the text file if a blacklisted word is found in the text file; identifying, using a processor, selected words within the text file based on a whitelist to create a first word list, wherein the first word list includes fewer words than the text file; comparing the selected words in the first word list to a personal vocabulary database associated with an individual from the plurality of individuals, wherein the personal vocabulary database associated with the individual includes one or more words that the individual added to the personal vocabulary database, and wherein words in the personal vocabulary database associated with the individual may be marked as private; and removing from the first word list, one or more of the selected words to create a second word list based on the selected words not being found in the personal vocabulary database associated with the individual, wherein the second word list includes fewer words then the first word list, wherein at least one of the selected words that is removed is associated with a false positive from two words that phonetically sound similar.
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1. A method, comprising: receiving data propagating in a network environment; ignoring Joint Photographic Experts Group (JPEG) documents in the data; identifying an audio and video media file in the data, wherein the audio and video media file is associated with a plurality of individuals; generating a text file based on the audio and video media file; comparing the text file to a plurality of blacklisted words; dropping the text file if a blacklisted word is found in the text file; identifying, using a processor, selected words within the text file based on a whitelist to create a first word list, wherein the first word list includes fewer words than the text file; comparing the selected words in the first word list to a personal vocabulary database associated with an individual from the plurality of individuals, wherein the personal vocabulary database associated with the individual includes one or more words that the individual added to the personal vocabulary database, and wherein words in the personal vocabulary database associated with the individual may be marked as private; and removing from the first word list, one or more of the selected words to create a second word list based on the selected words not being found in the personal vocabulary database associated with the individual, wherein the second word list includes fewer words then the first word list, wherein at least one of the selected words that is removed is associated with a false positive from two words that phonetically sound similar. 3. The method of claim 1 , wherein the personal vocabulary database is associated with a personal vocabulary segment for the individual, and wherein the selected words that are tagged and not removed are added to the personal vocabulary segment.
| 0.559353 |
8,140,327 | 1 | 13 |
1. A method for filtering and eliminating noise from natural language utterances, comprising: receiving a natural language utterance at a microphone array that adds one or more nulls to a beam pattern steered to point in a direction associated with a user speaking the natural language utterance, wherein the one or more nulls notch out point or limited area noise sources from an input speech signal corresponding to the natural language utterance; comparing environmental noise to the input speech signal corresponding to the natural language utterance to set one or more parameters associated with an adaptive filter coupled to the microphone array; passing the input speech signal corresponding to the natural language utterance to the adaptive filter, wherein the adaptive filter uses band shaping and notch filtering to remove narrow-band noise from the input speech signal corresponding to the natural language utterance according to the one or more parameters; suppressing cross-talk and environmentally caused echoes in the input speech signal corresponding to the natural language utterance using adaptive echo cancellation in the adaptive filter; sending the input speech signal passed through the adaptive filter to a speech coder that uses adaptive lossy audio compression to remove momentary gaps from the input speech signal and variable rate sampling to compress and digitize the input speech signal, wherein the speech coder optimizes the adaptive lossy audio compression and the variable rate sampling to only preserve components in the input speech signal that will be input to a speech recognition engine; and transmitting the digitized input speech signal from a buffer in the speech coder to the speech recognition engine, wherein the speech coder transmits the digitized input speech signal to the speech recognition engine at a rate that depends on available bandwidth between the speech coder and the speech recognition engine.
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1. A method for filtering and eliminating noise from natural language utterances, comprising: receiving a natural language utterance at a microphone array that adds one or more nulls to a beam pattern steered to point in a direction associated with a user speaking the natural language utterance, wherein the one or more nulls notch out point or limited area noise sources from an input speech signal corresponding to the natural language utterance; comparing environmental noise to the input speech signal corresponding to the natural language utterance to set one or more parameters associated with an adaptive filter coupled to the microphone array; passing the input speech signal corresponding to the natural language utterance to the adaptive filter, wherein the adaptive filter uses band shaping and notch filtering to remove narrow-band noise from the input speech signal corresponding to the natural language utterance according to the one or more parameters; suppressing cross-talk and environmentally caused echoes in the input speech signal corresponding to the natural language utterance using adaptive echo cancellation in the adaptive filter; sending the input speech signal passed through the adaptive filter to a speech coder that uses adaptive lossy audio compression to remove momentary gaps from the input speech signal and variable rate sampling to compress and digitize the input speech signal, wherein the speech coder optimizes the adaptive lossy audio compression and the variable rate sampling to only preserve components in the input speech signal that will be input to a speech recognition engine; and transmitting the digitized input speech signal from a buffer in the speech coder to the speech recognition engine, wherein the speech coder transmits the digitized input speech signal to the speech recognition engine at a rate that depends on available bandwidth between the speech coder and the speech recognition engine. 13. The method recited in claim 1 , wherein the microphone array includes multiple physically distributed microphones arranged to create a three-dimensional array.
| 0.756716 |
9,928,267 | 6 | 9 |
6. A computer program product for hierarchical database compression, the computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a processor to: apply a first level of a first type of compression to a first partition of a column of a database and store data generated from an application of the first level of the first type of compression to the first partition in a memory buffer external to the database; and apply a second level of the first type of compression to a subset of the data, wherein the first level of the first type of compression comprises a first first-level dictionary and the second level of the first type of compression comprises a first second-level dictionary, and wherein a code size of the first first-level dictionary is larger than a code size of the first second-level dictionary, wherein to apply the second level of the first type of compression further comprises: adding a first data entry to a set of data corresponding to a page of the database; determining an amount of space saved by applying the second level of the first type of compression to the set of data; determining a size of the first second-level dictionary corresponding to the first type of compression; based on determining that the amount of space is larger than the size of the first second-level dictionary, adding a second data entry to the set of data corresponding to the page; determining, based on the adding of the second data entry to the set of data, that there is a change to at least one of size of the first second-level dictionary and the code size of the first second-level dictionary; calculating a size of the page based on the determined change; determining that the page is full based on the calculated size of the page; removing the second data entry from the set of data corresponding to the page; applying the second level of the first type of compression without the determined change to the set of data corresponding to the page; performing predicate evaluation on the subset of the first partition by converting a predicate value into a compressed predicate value using the first first-level dictionary and the first second-level dictionary, and comparing the predicate value directly to compressed data in the subset of the first partition, wherein the compressed data is compressed using the first level and the second level of the first type of compression; performing join/groupby processing on the subset of the first partition by converting of second-level codes to first-level codes using the first second-level dictionary, and performing the join/groupby processing on the first-level codes; and performing expression evaluation on the subset of the first partition by converting second-level codes to uncompressed data using the first first-level dictionary and the first second-level dictionary.
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6. A computer program product for hierarchical database compression, the computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a processor to: apply a first level of a first type of compression to a first partition of a column of a database and store data generated from an application of the first level of the first type of compression to the first partition in a memory buffer external to the database; and apply a second level of the first type of compression to a subset of the data, wherein the first level of the first type of compression comprises a first first-level dictionary and the second level of the first type of compression comprises a first second-level dictionary, and wherein a code size of the first first-level dictionary is larger than a code size of the first second-level dictionary, wherein to apply the second level of the first type of compression further comprises: adding a first data entry to a set of data corresponding to a page of the database; determining an amount of space saved by applying the second level of the first type of compression to the set of data; determining a size of the first second-level dictionary corresponding to the first type of compression; based on determining that the amount of space is larger than the size of the first second-level dictionary, adding a second data entry to the set of data corresponding to the page; determining, based on the adding of the second data entry to the set of data, that there is a change to at least one of size of the first second-level dictionary and the code size of the first second-level dictionary; calculating a size of the page based on the determined change; determining that the page is full based on the calculated size of the page; removing the second data entry from the set of data corresponding to the page; applying the second level of the first type of compression without the determined change to the set of data corresponding to the page; performing predicate evaluation on the subset of the first partition by converting a predicate value into a compressed predicate value using the first first-level dictionary and the first second-level dictionary, and comparing the predicate value directly to compressed data in the subset of the first partition, wherein the compressed data is compressed using the first level and the second level of the first type of compression; performing join/groupby processing on the subset of the first partition by converting of second-level codes to first-level codes using the first second-level dictionary, and performing the join/groupby processing on the first-level codes; and performing expression evaluation on the subset of the first partition by converting second-level codes to uncompressed data using the first first-level dictionary and the first second-level dictionary. 9. The computer program product of claim 6 , wherein the first type of compression comprises minus coding, and wherein the first first-level dictionary comprises a first base value, and the first second-level dictionary comprises a second base value, wherein the first base value is different from the second base value.
| 0.78836 |
9,866,645 | 19 | 31 |
19. A non-transitory computer-readable medium encoded with instructions for causing a processing system to execute steps for generating actionable push notifications, comprising: receiving, by a notification server, a trigger message from a third party server; determining, by the notification server, user information associated with a user in response to the trigger message from the third party server; evaluating, by the notification server, the user information to determine one or more notification rules defined by the user, wherein the one or more notification rules indicate one or more circumstances under which the user should receive actionable notification messages; based on the trigger message and the one or more notification rules defined by the user, determining, by the notification server, that an actionable notification message should be sent to the user; based on the user information, determining, by the notification server, a user device associated with the user; in response to the determination that the actionable notification message should be sent to the user, generating, by the notification server, the actionable notification message having one or more actionable options operatively related to the actionable notification message; and transmitting, by the notification server, the actionable notification message and the one or more associated actionable options to the user device associated with the user, wherein the actionable notification message causes the user device to display a graphical user interface including a notification message corresponding to the actionable notification message and one or more user interface components corresponding to the one or more actionable options.
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19. A non-transitory computer-readable medium encoded with instructions for causing a processing system to execute steps for generating actionable push notifications, comprising: receiving, by a notification server, a trigger message from a third party server; determining, by the notification server, user information associated with a user in response to the trigger message from the third party server; evaluating, by the notification server, the user information to determine one or more notification rules defined by the user, wherein the one or more notification rules indicate one or more circumstances under which the user should receive actionable notification messages; based on the trigger message and the one or more notification rules defined by the user, determining, by the notification server, that an actionable notification message should be sent to the user; based on the user information, determining, by the notification server, a user device associated with the user; in response to the determination that the actionable notification message should be sent to the user, generating, by the notification server, the actionable notification message having one or more actionable options operatively related to the actionable notification message; and transmitting, by the notification server, the actionable notification message and the one or more associated actionable options to the user device associated with the user, wherein the actionable notification message causes the user device to display a graphical user interface including a notification message corresponding to the actionable notification message and one or more user interface components corresponding to the one or more actionable options. 31. The non-transitory computer-readable medium of claim 19 , wherein a user selection of one of the one or more user interface components corresponding to the one or more actionable options causes a corresponding action request to be processed by the user device.
| 0.696552 |
9,753,897 | 1 | 5 |
1. A method for building a custom publication comprising: receiving a selection of units of content for inclusion in a custom publication, each unit of content selected from source publications; accessing a library of electronic source publications, the library having defined units of content within the same publications and storing source publication metadata for the defined units of content, wherein the custom publication includes references to defined units of content associated with the selected units of content; creating a set of custom publication units for an unpublished custom publication, wherein creating the set of custom publication units comprises copying the selected units of content and associating the copied, selected units of content with the unpublished custom publication; including additional content in at least one of the set of custom publication units of content; publishing the unpublished custom publication, wherein publishing the unpublished custom publication comprises: for common structural elements in the custom publication units, including the at least one custom publication unit including the additional content, determining corresponding structural element type, and applying consistent styling to each of the common structural elements in the set of custom publication units of content, including the at least one custom publication unit including the additional content, based upon the determined structural element type, to create a published custom publication with consistent styling; and providing the published custom publication in an electronic format.
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1. A method for building a custom publication comprising: receiving a selection of units of content for inclusion in a custom publication, each unit of content selected from source publications; accessing a library of electronic source publications, the library having defined units of content within the same publications and storing source publication metadata for the defined units of content, wherein the custom publication includes references to defined units of content associated with the selected units of content; creating a set of custom publication units for an unpublished custom publication, wherein creating the set of custom publication units comprises copying the selected units of content and associating the copied, selected units of content with the unpublished custom publication; including additional content in at least one of the set of custom publication units of content; publishing the unpublished custom publication, wherein publishing the unpublished custom publication comprises: for common structural elements in the custom publication units, including the at least one custom publication unit including the additional content, determining corresponding structural element type, and applying consistent styling to each of the common structural elements in the set of custom publication units of content, including the at least one custom publication unit including the additional content, based upon the determined structural element type, to create a published custom publication with consistent styling; and providing the published custom publication in an electronic format. 5. The method of claim 1 , wherein the at least one of the set of custom publication units that includes the additional content includes both the additional content and at least one of the copied, selected units of content.
| 0.5 |
9,747,899 | 12 | 14 |
12. An audio device comprising: one or more processors; a plurality of microphones; an audio speaker configured to produce output audio; memory storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising: receiving, from the plurality of microphones, a plurality of audio signals representing input audio; generating, by the one or more processors for each of the plurality of audio signals, an indication indicating whether a corresponding audio signal contains a predefined expression; generating a parameter that indicates at least one of whether or not the output audio is currently being produced, whether or not the output audio contains speech, loudness of the output audio, or an echo characteristic of one or more of the plurality of audio signals; identifying, based at least in part on the indications, two or more audio signals, of the plurality of audio signals, that include the predefined expression; determining, based at least in part on the two or more audio signals and the parameter, that an occurrence of the predefined expression in the input audio is a result of an utterance of the predefined expression by a user; and in response to the determining, providing a wake notification corresponding to the predefined expression to the one or more processors to change a state of the audio device.
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12. An audio device comprising: one or more processors; a plurality of microphones; an audio speaker configured to produce output audio; memory storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising: receiving, from the plurality of microphones, a plurality of audio signals representing input audio; generating, by the one or more processors for each of the plurality of audio signals, an indication indicating whether a corresponding audio signal contains a predefined expression; generating a parameter that indicates at least one of whether or not the output audio is currently being produced, whether or not the output audio contains speech, loudness of the output audio, or an echo characteristic of one or more of the plurality of audio signals; identifying, based at least in part on the indications, two or more audio signals, of the plurality of audio signals, that include the predefined expression; determining, based at least in part on the two or more audio signals and the parameter, that an occurrence of the predefined expression in the input audio is a result of an utterance of the predefined expression by a user; and in response to the determining, providing a wake notification corresponding to the predefined expression to the one or more processors to change a state of the audio device. 14. The audio device of claim 12 , wherein each of the indications comprises a probability that the predefined expression occurs in the corresponding audio signal.
| 0.786649 |
8,050,503 | 1 | 14 |
1. A system for computer vision, the system including: a plurality of images; a signature processor of at least one processing device adapted to generate a signature based at least in part on a curvelet transform, the signature including a portion of a plurality of curvelet coefficients of the curvelet transform that is significant, wherein the signature is a vector of real numbers with a length less than a number of corresponding image pixels; and a matching processor of the at least one processing device adapted to receive a query image, wherein the matching processor is adapted to determine a query signature for the query image using the signature processor, and wherein the matching processor is adapted to determine at least one matching image from the plurality of images based at least in part on the query signature.
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1. A system for computer vision, the system including: a plurality of images; a signature processor of at least one processing device adapted to generate a signature based at least in part on a curvelet transform, the signature including a portion of a plurality of curvelet coefficients of the curvelet transform that is significant, wherein the signature is a vector of real numbers with a length less than a number of corresponding image pixels; and a matching processor of the at least one processing device adapted to receive a query image, wherein the matching processor is adapted to determine a query signature for the query image using the signature processor, and wherein the matching processor is adapted to determine at least one matching image from the plurality of images based at least in part on the query signature. 14. The system of claim 1 , wherein the curvelet transform is invariant under shift, rotation, and scale.
| 0.64527 |
9,185,125 | 47 | 66 |
47. A non-transitory computer-readable medium having one or more instructions stored thereon for detecting threats on a network, wherein the one or more instructions, when executed by a processor, cause the processor to: capture target network traffic being transmitted between two or more hosts, wherein the target network traffic comprises a plurality of packets; assemble the plurality of packets into one or more messages; parse the assembled one or more messages to generate a semantic model of the target network traffic, wherein the semantic model comprises one or more representations of one or more operations or events represented by the one or more messages; generate one or more scores for the one or more operations or events using a plurality of scoring algorithms; and identify one or more potentially threatening ones of the one or more operations or events based on the one or more scores.
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47. A non-transitory computer-readable medium having one or more instructions stored thereon for detecting threats on a network, wherein the one or more instructions, when executed by a processor, cause the processor to: capture target network traffic being transmitted between two or more hosts, wherein the target network traffic comprises a plurality of packets; assemble the plurality of packets into one or more messages; parse the assembled one or more messages to generate a semantic model of the target network traffic, wherein the semantic model comprises one or more representations of one or more operations or events represented by the one or more messages; generate one or more scores for the one or more operations or events using a plurality of scoring algorithms; and identify one or more potentially threatening ones of the one or more operations or events based on the one or more scores. 66. The non-transitory computer-readable medium of claim 47 , wherein at least one of the plurality of scoring algorithms parses a structured query language (SQL) statement into a plurality of segments, and determines whether the plurality of segments satisfy one or more criteria.
| 0.849572 |
4,389,706 | 13 | 15 |
13. A system in accordance with claim 9 wherein at least one signal-name designation is included in at least one job definition as a reference to the status of the signal and is also included in at least one other job definition as a reference to the triggering event defined by the periodic scanning or change in the state of that signal.
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13. A system in accordance with claim 9 wherein at least one signal-name designation is included in at least one job definition as a reference to the status of the signal and is also included in at least one other job definition as a reference to the triggering event defined by the periodic scanning or change in the state of that signal. 15. A system in accordance with claim 13 wherein at least one definition containing a memory address and a designation is a combined job definition defining how a variable is to be periodically monitored and event definition defining the periodic monitoring of the variable as an event which may trigger execution of other definitions.
| 0.5 |
9,448,991 | 1 | 2 |
1. A method for providing context-based corrections of voice recognition results using an electronic client device, the method comprising the acts of: storing a plurality of element categories in a memory of the electronic client device; storing, in the memory, a plurality of recognized words and phrases corresponding to the plurality of element categories; displaying, by the electronic client device on a display, a text-based result from a speech-to-text conversion operation, wherein the result comprises a plurality of words; identifying, by the electronic client device, an element category associated with a portion of the text-based result, wherein said identifying the element category comprises the acts of: parsing the plurality of words to determine if at least one of the plurality of recognized words and phrases is contained in the text-based result, performing a lookup operation of the plurality of element categories using an identified one of the plurality of recognized words and phrases from said parsing, and identifying said element category from among the plurality of element categories in response to the lookup operation producing a match between one of the plurality of element categories and the identified one of the plurality of recognized words and phrases; displaying, by the electronic client device on the display, a graphical icon corresponding to the element category in an area of the display corresponding to where the portion of the text-based result is also displayed; detecting a user selection, by the electronic client device, of the graphical icon; enabling, by the electronic client device and in response to the user selection, an edit operation to be performed on the portion of the text-based result associated with the graphical icon; and displaying, by the electronic client device on the display, an updated version of the text-based result based on said edit operation.
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1. A method for providing context-based corrections of voice recognition results using an electronic client device, the method comprising the acts of: storing a plurality of element categories in a memory of the electronic client device; storing, in the memory, a plurality of recognized words and phrases corresponding to the plurality of element categories; displaying, by the electronic client device on a display, a text-based result from a speech-to-text conversion operation, wherein the result comprises a plurality of words; identifying, by the electronic client device, an element category associated with a portion of the text-based result, wherein said identifying the element category comprises the acts of: parsing the plurality of words to determine if at least one of the plurality of recognized words and phrases is contained in the text-based result, performing a lookup operation of the plurality of element categories using an identified one of the plurality of recognized words and phrases from said parsing, and identifying said element category from among the plurality of element categories in response to the lookup operation producing a match between one of the plurality of element categories and the identified one of the plurality of recognized words and phrases; displaying, by the electronic client device on the display, a graphical icon corresponding to the element category in an area of the display corresponding to where the portion of the text-based result is also displayed; detecting a user selection, by the electronic client device, of the graphical icon; enabling, by the electronic client device and in response to the user selection, an edit operation to be performed on the portion of the text-based result associated with the graphical icon; and displaying, by the electronic client device on the display, an updated version of the text-based result based on said edit operation. 2. The method of claim 1 , wherein displaying, by the client device on the display, the graphical icon corresponding to the element category comprises displaying the graphical icon and the portion of the text-based result in an at least partially overlapping manner on the display of the client device.
| 0.5 |
7,899,666 | 1 | 3 |
1. A system for automatically extracting relations between concepts included in electronic text, comprising: a semantic network comprising a plurality of lemmas that are grouped into synsets representing concepts, each of the synsets having a corresponding sense, and a plurality of links connected between the synsets that represent semantic relations between the synsets; wherein the semantic network further includes semantic information comprising at least one of: an expanded set of semantic relation links representing: hierarchical semantic relations, synset/corpus semantic relations verb/subject semantic relations, verb/direct object semantic relations, and fine grain/coarse grain semantic relationship; a hierarchical category tree having a plurality of categories, wherein each of the categories contains a group of one or more synsets and a set of attributes, wherein the set of attributes of each of the categories are associated with each of the synsets in the respective category; and a plurality of domains, wherein one or more of the domains is associated with at least a portion of the synsets, wherein each domain adds information regarding a linguistic context in which the corresponding synset is used in a language; and a linguistic engine for performing semantic disambiguation on the electronic text using the at least one of the expanded set of semantic relation links, the hierarchical category tree, and the plurality of domains to assign a respective one of the senses to elements in the electronic text independently from contextual reference of the electronic text.
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1. A system for automatically extracting relations between concepts included in electronic text, comprising: a semantic network comprising a plurality of lemmas that are grouped into synsets representing concepts, each of the synsets having a corresponding sense, and a plurality of links connected between the synsets that represent semantic relations between the synsets; wherein the semantic network further includes semantic information comprising at least one of: an expanded set of semantic relation links representing: hierarchical semantic relations, synset/corpus semantic relations verb/subject semantic relations, verb/direct object semantic relations, and fine grain/coarse grain semantic relationship; a hierarchical category tree having a plurality of categories, wherein each of the categories contains a group of one or more synsets and a set of attributes, wherein the set of attributes of each of the categories are associated with each of the synsets in the respective category; and a plurality of domains, wherein one or more of the domains is associated with at least a portion of the synsets, wherein each domain adds information regarding a linguistic context in which the corresponding synset is used in a language; and a linguistic engine for performing semantic disambiguation on the electronic text using the at least one of the expanded set of semantic relation links, the hierarchical category tree, and the plurality of domains to assign a respective one of the senses to elements in the electronic text independently from contextual reference of the electronic text. 3. The system of claim 1 wherein after performing the semantic disambiguation, the linguistic processor outputs a representation of the respective senses assigned to the elements and relationships between the elements of the text.
| 0.75162 |
8,738,705 | 1 | 2 |
1. A computer implemented method comprising: identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity; determining a measure of interactions of the user with the malicious group; selecting users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups; selecting a set of potentially malicious groups associated with the selected users; receiving, by a computer, keywords associated with the type of malicious activity and searching for keyword occurrences in content received from users of the potentially malicious groups; determining, by the computer, a level of association of each potentially malicious group with the type of malicious activity based on the keyword occurrences; and storing information describing the association of each potentially malicious group with the type of malicious activity.
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1. A computer implemented method comprising: identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity; determining a measure of interactions of the user with the malicious group; selecting users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups; selecting a set of potentially malicious groups associated with the selected users; receiving, by a computer, keywords associated with the type of malicious activity and searching for keyword occurrences in content received from users of the potentially malicious groups; determining, by the computer, a level of association of each potentially malicious group with the type of malicious activity based on the keyword occurrences; and storing information describing the association of each potentially malicious group with the type of malicious activity. 2. The computer implemented method of claim 1 , wherein a user associated with the malicious groups is selected if the measure of interactions exceeds a first threshold value and each potentially malicious group associated with a selected user is selected responsive to interactions of the selected user with the potentially malicious group exceeding a second threshold value.
| 0.578475 |
8,036,930 | 1 | 2 |
1. A method comprising: collecting, by one or more processors, virtual universe data associated with interactions between avatars, entities, and objects in a virtual universe, the collecting including, collecting, by the one or more processors, at least some of the virtual universe data as the interactions occur; determining, by the one or more processors, a criteria by which to perform a market segmentation analysis on the virtual universe data; performing, by the one or more processors, the market segmentation analysis on the virtual universe data, wherein the market segmentation analysis comprises segmenting the avatars based on an amount of time the avatars are in the virtual universe and an amount of money the avatars spend in the virtual universe, and wherein the segmenting generates a first segment that includes those of the avatars that spend below a defined amount of time within the virtual universe and spend above a defined monetary amount in the virtual universe, a second segment that includes those of the avatars that spend above the defined amount of time within the virtual universe and spend above the defined monetary amount in the virtual universe, a third segment that includes those of the avatars that spend below the defined amount of time within the virtual universe and spend below the defined monetary amount in the virtual universe, and a fourth segment that includes those of the avatars that spend above the defined amount of time within the virtual universe and spend below the defined monetary amount in the virtual universe; and generating, by the one or more processors, a report indicating results of the market segmentation analysis; marketing, by the one or more processors, at least one of a first-adopter product and a high-valued product to those of the avatars in the third segment; and providing, by the one or more processors, at least one of a free offer and a discount for a product to those of the avatars in the fourth segment.
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1. A method comprising: collecting, by one or more processors, virtual universe data associated with interactions between avatars, entities, and objects in a virtual universe, the collecting including, collecting, by the one or more processors, at least some of the virtual universe data as the interactions occur; determining, by the one or more processors, a criteria by which to perform a market segmentation analysis on the virtual universe data; performing, by the one or more processors, the market segmentation analysis on the virtual universe data, wherein the market segmentation analysis comprises segmenting the avatars based on an amount of time the avatars are in the virtual universe and an amount of money the avatars spend in the virtual universe, and wherein the segmenting generates a first segment that includes those of the avatars that spend below a defined amount of time within the virtual universe and spend above a defined monetary amount in the virtual universe, a second segment that includes those of the avatars that spend above the defined amount of time within the virtual universe and spend above the defined monetary amount in the virtual universe, a third segment that includes those of the avatars that spend below the defined amount of time within the virtual universe and spend below the defined monetary amount in the virtual universe, and a fourth segment that includes those of the avatars that spend above the defined amount of time within the virtual universe and spend below the defined monetary amount in the virtual universe; and generating, by the one or more processors, a report indicating results of the market segmentation analysis; marketing, by the one or more processors, at least one of a first-adopter product and a high-valued product to those of the avatars in the third segment; and providing, by the one or more processors, at least one of a free offer and a discount for a product to those of the avatars in the fourth segment. 2. The method of claim 1 , wherein the collecting further includes: distributing advertisements for a market research program in the virtual universe; and receiving, from users, consent allowing collection of the virtual universe data.
| 0.720903 |
9,342,665 | 10 | 17 |
10. A method for facilitating intellectual property rights compliance by an application comprising: receiving a structured document from a first domain, the structured document having: at least one content object, a reference to at least one digital rights compliance (DRC) object located on a second domain and associated with the at least one content object, and application-specific instructions being executable by the application, the at least one DRC object being defined in a non-executable format and containing information indicative of intellectual property rights associated with the at least one content; executing the application-specific instructions to cause the application to send at least one request to the second domain for the at least one DRC object; receiving the at least one DRC object from the second domain; executing the application-specific instructions to cause the application to modify the structured document by incorporating the at least one DRC object into the structured document; and executing the application-specific instructions to cause the application to present the at least one content object in accordance with the at least one DRC object; wherein the application is configured to limit application instructions that the application is permitted to execute such that the application is compliant with a same-origin security policy that prohibits the application from executing application-specific instructions from Hall any domain that is different from the first domain.
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10. A method for facilitating intellectual property rights compliance by an application comprising: receiving a structured document from a first domain, the structured document having: at least one content object, a reference to at least one digital rights compliance (DRC) object located on a second domain and associated with the at least one content object, and application-specific instructions being executable by the application, the at least one DRC object being defined in a non-executable format and containing information indicative of intellectual property rights associated with the at least one content; executing the application-specific instructions to cause the application to send at least one request to the second domain for the at least one DRC object; receiving the at least one DRC object from the second domain; executing the application-specific instructions to cause the application to modify the structured document by incorporating the at least one DRC object into the structured document; and executing the application-specific instructions to cause the application to present the at least one content object in accordance with the at least one DRC object; wherein the application is configured to limit application instructions that the application is permitted to execute such that the application is compliant with a same-origin security policy that prohibits the application from executing application-specific instructions from Hall any domain that is different from the first domain. 17. The method according to claim 10 , wherein the application is a web browser application and the structured document is a web page.
| 0.694064 |
5,412,566 | 12 | 13 |
12. The variable replacement apparatus as claimed in claim 1, wherein the same format corresponds to each character in the variable name and said variable value converting means converts the entire variable value in accordance with the corresponding same format of the characters in the variable name.
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12. The variable replacement apparatus as claimed in claim 1, wherein the same format corresponds to each character in the variable name and said variable value converting means converts the entire variable value in accordance with the corresponding same format of the characters in the variable name. 13. The variable replacement apparatus as claimed in claim 12, wherein said variable value converting means inserts dummy characters into the variable name if the number of characters forming the variable name is less than the number of datum forming the variable value.
| 0.503676 |
10,073,883 | 1 | 3 |
1. A computer-implemented method, comprising: associating, by a computer system, a set of content related to a plurality of items with a catalog describing the plurality of items, the plurality of items offered at an electronic marketplace based at least in part on the catalog; receiving, by the computer system from a computing device of a user, a query for an item offered at the electronic marketplace, the query comprising keywords; determining, by the computer system, a context indicating a specificity of the query, the context determined based at least in part on an abandonment rate associated with the keywords; identifying, by the computer system, information about the item from the catalog based at least in part on the query; generating, by the computer system, a query result comprising the information about the item; identifying, by the computer system, content from the set of content based at least in part on a rule, the rule specifying a content type and a presentation location based at least in part on the specificity of the context, the content identified based at least in part on a determination that the content is of the content type and on the associating with the catalog; inserting, by the computer system, the content from the set of content in the query result; and providing, by the computer system to the computing device of the user, the query result, the providing causing the computing device to present the information about the item in a first location of a space in a user interface and to present the content related to the one or more items at the presentation location of the space, the space configured to present the query result.
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1. A computer-implemented method, comprising: associating, by a computer system, a set of content related to a plurality of items with a catalog describing the plurality of items, the plurality of items offered at an electronic marketplace based at least in part on the catalog; receiving, by the computer system from a computing device of a user, a query for an item offered at the electronic marketplace, the query comprising keywords; determining, by the computer system, a context indicating a specificity of the query, the context determined based at least in part on an abandonment rate associated with the keywords; identifying, by the computer system, information about the item from the catalog based at least in part on the query; generating, by the computer system, a query result comprising the information about the item; identifying, by the computer system, content from the set of content based at least in part on a rule, the rule specifying a content type and a presentation location based at least in part on the specificity of the context, the content identified based at least in part on a determination that the content is of the content type and on the associating with the catalog; inserting, by the computer system, the content from the set of content in the query result; and providing, by the computer system to the computing device of the user, the query result, the providing causing the computing device to present the information about the item in a first location of a space in a user interface and to present the content related to the one or more items at the presentation location of the space, the space configured to present the query result. 3. The computer-implemented method of claim 1 , wherein the presentation location is determined based at least in part on the context.
| 0.896124 |
9,122,667 | 5 | 11 |
5. A document generation system comprising: one or more first computers which are configured to: access a document template comprising predetermined elements of content for possible use when generating a customized document; access data associated with the document template, the data representing first and second rules for making, respectively, first and second determinations as to the use to be made of the predetermined elements of content when generating a customized document, the first and second determinations each requiring further information to be received; receive information enabling at least the first determination to be made; make the first determination on the basis of the received information; generate a partially customized document in accordance with the outcome of the first determination such that the partially customized document includes an element of conditional content selected based on evaluation of the first rule; and associate, with the generated partially customized document, data representing the second rule; and one or more second computers which are configured to: receive the partially customized document and associated data representing the second rule; receive information enabling at least the second determination to be made; and make the second determination without reference to the document template on the basis of the received information and the data representing the second rule associated with the partially customized document.
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5. A document generation system comprising: one or more first computers which are configured to: access a document template comprising predetermined elements of content for possible use when generating a customized document; access data associated with the document template, the data representing first and second rules for making, respectively, first and second determinations as to the use to be made of the predetermined elements of content when generating a customized document, the first and second determinations each requiring further information to be received; receive information enabling at least the first determination to be made; make the first determination on the basis of the received information; generate a partially customized document in accordance with the outcome of the first determination such that the partially customized document includes an element of conditional content selected based on evaluation of the first rule; and associate, with the generated partially customized document, data representing the second rule; and one or more second computers which are configured to: receive the partially customized document and associated data representing the second rule; receive information enabling at least the second determination to be made; and make the second determination without reference to the document template on the basis of the received information and the data representing the second rule associated with the partially customized document. 11. The system according to claim 5 , wherein the one or more computers generate a request to receive information enabling at least the second determination to be made, the received information being validly received in response to the request.
| 0.594684 |
8,560,315 | 14 | 16 |
14. A non-transitory computer-readable medium that stores a conference support program for a conference support device that, by controlling communication among a plurality of conference terminals, is configured to support a video conference that is conducted among conference participants who are using the conference terminals, the program comprising instructions that cause a computer of the conference support device to perform: receiving, from the plurality of the conference terminals, captured images that are captured by image capture devices of the conference terminals and in each of which at least one of the conference participants is visible; receiving, from a first conference terminal that is one of the plurality of the conference terminals, a voice that is generated by a first participant, the first participant being one of the conference participants and being using the first conference terminal, the voice being input from a voice input device of the first conference terminal; identifying words that are included in the received voice by voice recognition processing; creating text data that express the identified words; specifying a second participant who is a different conference participant from the first participant based on a result of voice recognition processing, the second participant corresponding to the identified words and being at least one of the conference participants; creating a display image that is to be displayed on display devices of the plurality of the conference terminals from the captured images that have been received, and in which the text data that have been created are associated with a first portion of the captured image that corresponds to the first participant and a specified image is associated with a second portion of the captured image that corresponds to the second participant, the specified image being an image that indicates that the second participant is addressed by the first participant; and transmitting the created display image to the plurality of the conference terminals, in order for the display image to be displayed on the display devices of the plurality of the conference terminals.
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14. A non-transitory computer-readable medium that stores a conference support program for a conference support device that, by controlling communication among a plurality of conference terminals, is configured to support a video conference that is conducted among conference participants who are using the conference terminals, the program comprising instructions that cause a computer of the conference support device to perform: receiving, from the plurality of the conference terminals, captured images that are captured by image capture devices of the conference terminals and in each of which at least one of the conference participants is visible; receiving, from a first conference terminal that is one of the plurality of the conference terminals, a voice that is generated by a first participant, the first participant being one of the conference participants and being using the first conference terminal, the voice being input from a voice input device of the first conference terminal; identifying words that are included in the received voice by voice recognition processing; creating text data that express the identified words; specifying a second participant who is a different conference participant from the first participant based on a result of voice recognition processing, the second participant corresponding to the identified words and being at least one of the conference participants; creating a display image that is to be displayed on display devices of the plurality of the conference terminals from the captured images that have been received, and in which the text data that have been created are associated with a first portion of the captured image that corresponds to the first participant and a specified image is associated with a second portion of the captured image that corresponds to the second participant, the specified image being an image that indicates that the second participant is addressed by the first participant; and transmitting the created display image to the plurality of the conference terminals, in order for the display image to be displayed on the display devices of the plurality of the conference terminals. 16. The non-transitory computer-readable medium according to claim 14 , wherein the specifying the second participant includes, in a case where the identified words by the voice recognition processing include a first specified word, specifying all of the conference participants except the first participant as the second participant, and the creating the display image includes, in a case where all of the conference participants except the first participant are specified as the second participant, creating the display image by associating the specified image with the second portion of the captured image that correspond to the second participant.
| 0.628425 |
8,706,742 | 8 | 14 |
8. The system according to claim 4 wherein said relevance rater comprises an electronic document analyzer receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the analyzer comprising: iterative apparatus for performing a plurality of machine learning iterations on said N electronic documents wherein said iterations teach said iterative apparatus to determine relevance of documents to at least one issue in said set of issues; and apparatus for determining at least one relevance determination quality criterion characterizing said iterative apparatus's current performance.
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8. The system according to claim 4 wherein said relevance rater comprises an electronic document analyzer receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the analyzer comprising: iterative apparatus for performing a plurality of machine learning iterations on said N electronic documents wherein said iterations teach said iterative apparatus to determine relevance of documents to at least one issue in said set of issues; and apparatus for determining at least one relevance determination quality criterion characterizing said iterative apparatus's current performance. 14. The system according to claim 8 wherein said set of issues comprises a plurality of issues and also comprising a multi-issue manager operative to monitor the system's analysis of relevance of said at least N documents to each of the plurality of issues and to prompt at least one of the user and the system if relevance has not been analyzed for some of said plurality of issues.
| 0.5 |
7,752,212 | 16 | 17 |
16. The computer program product of claim 14 , wherein selectively invoking a de-serialization module further comprises: identifying a de-serialization bytecode instruction within the execution plan; and selecting a de-serialization module that de-serializes the item of information according to the de-serialization bytecode instruction from a plurality of de-serialization modules.
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16. The computer program product of claim 14 , wherein selectively invoking a de-serialization module further comprises: identifying a de-serialization bytecode instruction within the execution plan; and selecting a de-serialization module that de-serializes the item of information according to the de-serialization bytecode instruction from a plurality of de-serialization modules. 17. The computer program product of claim 16 , selecting a de-serialization module further comprises querying at least one of the plurality of de-serialization modules whether the de-serialization module performs a de-serialization operation specified by the de-serialization bytecode instruction.
| 0.5 |
9,384,180 | 12 | 13 |
12. The method of claim 9 , wherein processing the content further comprises rebuilding the lost content in the scanned form by using a broken stroke reconstruction algorithm.
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12. The method of claim 9 , wherein processing the content further comprises rebuilding the lost content in the scanned form by using a broken stroke reconstruction algorithm. 13. The method of claim 12 , wherein processing the content further comprises scaling the rebuilt lost content to correspond to a size of the corresponding field in the second form.
| 0.5 |
8,973,128 | 10 | 11 |
10. A document presentation system, the document presentation system comprising: one or more processors; system memory; a document database; a search database; a document collection system, the document collection system configured to: collect documents from one or more data sources; tag documents, including for each collected document: tagging items in the document for which the document can be searched; and tagging portions of the document as eligible for alteration, based on classification of the portions, when presented to a user that does not have access to the entire document contents; store the tagged documents in a search database for use in generating search results that match received search requests; and store copies of collected documents in the document database for use in building altered representations of a collected document for a user that does not have access to the entire document contents; and a presentation engine, presentation engine configured to: determine how to alter search results that include tagged portions of a document tagged as eligible for alteration when a user does not have access to the tagged portions of the document based on an access policy; and build an altered representation of the document by replacing the tagged portions of the document with other data in accordance with the determination.
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10. A document presentation system, the document presentation system comprising: one or more processors; system memory; a document database; a search database; a document collection system, the document collection system configured to: collect documents from one or more data sources; tag documents, including for each collected document: tagging items in the document for which the document can be searched; and tagging portions of the document as eligible for alteration, based on classification of the portions, when presented to a user that does not have access to the entire document contents; store the tagged documents in a search database for use in generating search results that match received search requests; and store copies of collected documents in the document database for use in building altered representations of a collected document for a user that does not have access to the entire document contents; and a presentation engine, presentation engine configured to: determine how to alter search results that include tagged portions of a document tagged as eligible for alteration when a user does not have access to the tagged portions of the document based on an access policy; and build an altered representation of the document by replacing the tagged portions of the document with other data in accordance with the determination. 11. The system of claim 10 , wherein the presentation engine being configured to build an altered representation of the document comprises the presentation engine being configured to redact the one or more portions of the document for which the user does not have permission to access.
| 0.5 |
9,430,793 | 1 | 4 |
1. A dictionary generation device comprising: a determination unit configured to (A) refer to an item database that stores a plurality of records containing an item name and/or item description including a noun, a noun phrase or a noun sequence being a sequence of nouns or noun phrases, an item category, and a shop selling the item as fields and determine whether the noun sequence included in the item name and/or item description of each record is set corresponding to the item category, (B) count the number of selling shops in a record containing the noun sequence set corresponding to the item category for each item category and calculate a shop intensity of each noun sequence set corresponding to the item category based on the counted number of selling shops, (C) determine whether one item category uniquely derived from the noun sequence exists based on the shop intensity for each item category, and (D) determine the noun sequence as a definitive category word when the one item category exists; and a registration unit configured to store dictionary information where the definitive category word and the uniquely derived item category are associated with each other into a dictionary database.
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1. A dictionary generation device comprising: a determination unit configured to (A) refer to an item database that stores a plurality of records containing an item name and/or item description including a noun, a noun phrase or a noun sequence being a sequence of nouns or noun phrases, an item category, and a shop selling the item as fields and determine whether the noun sequence included in the item name and/or item description of each record is set corresponding to the item category, (B) count the number of selling shops in a record containing the noun sequence set corresponding to the item category for each item category and calculate a shop intensity of each noun sequence set corresponding to the item category based on the counted number of selling shops, (C) determine whether one item category uniquely derived from the noun sequence exists based on the shop intensity for each item category, and (D) determine the noun sequence as a definitive category word when the one item category exists; and a registration unit configured to store dictionary information where the definitive category word and the uniquely derived item category are associated with each other into a dictionary database. 4. The dictionary generation device according to claim 1 , wherein the determination unit calculates a total number of shops having registered item information where the item name includes the noun sequence, and when the total number of shops is equal to or less than a specified threshold, does not determine the noun sequence as the definitive category word.
| 0.826087 |
8,090,620 | 1 | 6 |
1. A system embodied on a computer storage medium that facilitates searching for items for sale on an online classifieds site comprising: an item posting component that receives and posts at least one new geo-tagged item; a monitor that examines the at least one new geo-tagged item for geo-tag information; an analysis component that determines a match exists between at least one new item and a user's geo-tag preferences, wherein the at least one new item is associated with a first portion of geo-tag information comprising a location of the new item and a second portion of geo-tag information comprising a location of the user, wherein the first and second portions of geo-tag information are accessible by the analysis component, and wherein the analysis component determines the at least one new item via an inferential search; a notification component that alerts the user that a match exists between the at least one new item and the user's geo-tag preferences, wherein the first portion of geo-tag information is filtered from view by the user, and wherein the second portion of geo-tag information is accessible by the user; and a mapping component that illustrates directions between the first portion of geo-tag information comprising the location of the new item and the second portion of the geo-tag information comprising the location of the user.
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1. A system embodied on a computer storage medium that facilitates searching for items for sale on an online classifieds site comprising: an item posting component that receives and posts at least one new geo-tagged item; a monitor that examines the at least one new geo-tagged item for geo-tag information; an analysis component that determines a match exists between at least one new item and a user's geo-tag preferences, wherein the at least one new item is associated with a first portion of geo-tag information comprising a location of the new item and a second portion of geo-tag information comprising a location of the user, wherein the first and second portions of geo-tag information are accessible by the analysis component, and wherein the analysis component determines the at least one new item via an inferential search; a notification component that alerts the user that a match exists between the at least one new item and the user's geo-tag preferences, wherein the first portion of geo-tag information is filtered from view by the user, and wherein the second portion of geo-tag information is accessible by the user; and a mapping component that illustrates directions between the first portion of geo-tag information comprising the location of the new item and the second portion of the geo-tag information comprising the location of the user. 6. The system of claim 1 , wherein the notification component alerts the user in part by sending at least one of an email or instant message to the user.
| 0.626829 |
7,716,303 | 6 | 9 |
6. The method of claim 1 , wherein the search request is associated with a train reservation service, and the plurality of search criteria include at least one of a departure location, an arrival location, or a travel date.
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6. The method of claim 1 , wherein the search request is associated with a train reservation service, and the plurality of search criteria include at least one of a departure location, an arrival location, or a travel date. 9. The method of claim 6 , further comprising transmitting a query to the second information location, the query including one or more query parameters, and the one or more query parameters including at least one of the departure location, the arrival location, or the travel date inputted through the at least one input field.
| 0.5 |
9,031,293 | 22 | 23 |
22. The apparatus of claim 15 , wherein the features further include one or more context features.
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22. The apparatus of claim 15 , wherein the features further include one or more context features. 23. The apparatus of claim 22 , wherein the one or more context features include one or more features from game, movie, video, music, environmental characteristics, non-user characters, sound signals not corresponding to the user's speech, or visual signals not corresponding to the user.
| 0.5 |
8,498,994 | 15 | 16 |
15. The computing system recited in claim 10 , the one or more computing devices further configured to: designate the second document file as being associated with the social file, the social file providing access to the second document file via the social network.
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15. The computing system recited in claim 10 , the one or more computing devices further configured to: designate the second document file as being associated with the social file, the social file providing access to the second document file via the social network. 16. The computing system recited in claim 15 , wherein the first and second document files are each divided into a plurality of document file portions, the document file portions being capable of segmenting a visual display of the first and second document files.
| 0.5 |
9,116,990 | 1 | 4 |
1. One or more computer-storage memory devices having computer-executable instructions embodied thereon that when executed by a computing device, perform a method of featuring recently published documents within search results, the method comprising: receiving a search query from a user; identifying a first plurality of documents that are responsive to the search query because a portion of the search query matches one or more portions of the documents; determining that an intent of the user to receive recently published documents is ambiguous by calculating a freshness score for the search query, wherein the freshness score is based on how many recently published documents are responsive to the search query, and by determining that the freshness score for the search query falls into a designated range bounded by a low-threshold score and a high-threshold score; displaying, on a search results page, the first plurality of search results; and upon said determining, that the freshness score for the search query falls into a designated range bounded by the low-threshold score and the high-threshold score, displaying, on the search results page with the first plurality of search results, a second plurality of search results that describe documents published less than a designated period of time from the present.
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1. One or more computer-storage memory devices having computer-executable instructions embodied thereon that when executed by a computing device, perform a method of featuring recently published documents within search results, the method comprising: receiving a search query from a user; identifying a first plurality of documents that are responsive to the search query because a portion of the search query matches one or more portions of the documents; determining that an intent of the user to receive recently published documents is ambiguous by calculating a freshness score for the search query, wherein the freshness score is based on how many recently published documents are responsive to the search query, and by determining that the freshness score for the search query falls into a designated range bounded by a low-threshold score and a high-threshold score; displaying, on a search results page, the first plurality of search results; and upon said determining, that the freshness score for the search query falls into a designated range bounded by the low-threshold score and the high-threshold score, displaying, on the search results page with the first plurality of search results, a second plurality of search results that describe documents published less than a designated period of time from the present. 4. The memory device of claim 1 , wherein the documents are webpages.
| 0.880623 |
9,208,221 | 5 | 6 |
5. A system according to claim 4 , further comprising: a theme identification module to identify the clusters along a common vector having a similar theme.
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5. A system according to claim 4 , further comprising: a theme identification module to identify the clusters along a common vector having a similar theme. 6. A system according to claim 5 , further comprising: a cluster designation module to designate the clusters along the common vector as having a theme similar to those clusters located along other vectors positioned at a small cosign rotation from the common vector.
| 0.5 |
9,830,039 | 1 | 4 |
1. A method for using a wizard control panel in a conversational system, comprising: receiving a user interaction with the conversational system during a dialog flow; receiving information associated with graphical entities of a user's display; displaying the wizard control panel including a display of elements that are used for affecting an automatic operation of the conversational system during the dialog flow and a display of a representative state of the user's display for interacting with the user's display by a human wizard; processing the user interaction to display results for the user interaction within the wizard control panel; determining receipt of an update to the results in the wizard control panel; and in response to determining the results are updated in the wizard control panel, submitting updated results to the conversational system, wherein submission of the updated results modifies operation of the conversational system before the automatic operation is processed.
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1. A method for using a wizard control panel in a conversational system, comprising: receiving a user interaction with the conversational system during a dialog flow; receiving information associated with graphical entities of a user's display; displaying the wizard control panel including a display of elements that are used for affecting an automatic operation of the conversational system during the dialog flow and a display of a representative state of the user's display for interacting with the user's display by a human wizard; processing the user interaction to display results for the user interaction within the wizard control panel; determining receipt of an update to the results in the wizard control panel; and in response to determining the results are updated in the wizard control panel, submitting updated results to the conversational system, wherein submission of the updated results modifies operation of the conversational system before the automatic operation is processed. 4. The method of claim 1 , wherein displaying the wizard control panel, comprises: displaying a Natural Language Generation element of the wizard that is configured for viewing and changing feedback that is populated using results automatically determined by an input understanding component of the conversational system.
| 0.632723 |
8,705,897 | 1 | 4 |
1. A method of an electronic controller presenting a collection of digital images comprising: retrieving a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; and displaying iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access.
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1. A method of an electronic controller presenting a collection of digital images comprising: retrieving a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; and displaying iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access. 4. The method of claim 1 wherein collections of iconic representations of digital image files are displayed on a geographic map.
| 0.581699 |
8,046,226 | 1 | 18 |
1. A method for a user to create a report through voice output, comprising: (a) receiving by a computer information from user input via a user input device; (b) processing by the computer the information, wherein said processing step utilizes a heuristic algorithm; (c) performing by the computer a task resultant from said processing step, wherein said performing step further comprises a step of making a heuristic selection of one or more macros from a macro library; (d) preparing by the computer a response based on said performing step; (e) communicating the response as voice output verbalized through use of a voice output device; and (f) repeating said steps (a)-(e) until the report is completed.
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1. A method for a user to create a report through voice output, comprising: (a) receiving by a computer information from user input via a user input device; (b) processing by the computer the information, wherein said processing step utilizes a heuristic algorithm; (c) performing by the computer a task resultant from said processing step, wherein said performing step further comprises a step of making a heuristic selection of one or more macros from a macro library; (d) preparing by the computer a response based on said performing step; (e) communicating the response as voice output verbalized through use of a voice output device; and (f) repeating said steps (a)-(e) until the report is completed. 18. The method of claim 1 , wherein the report is a medical report.
| 0.815934 |
8,694,959 | 6 | 16 |
6. A system, comprising: a memory that stores at least one computer-executable component; and a processor, communicatively coupled to the memory, that facilitates execution of the at least one computer-executable component, the at least one computer-executable component, comprising: an interface component configured to receive first data from a first programming language and second data from a second programming language, wherein at least one of the first programming language or the second programming language is a graphical programming language; and an editor component configured to: assess an applicability of the first programming language with regard to programming the industrial controller in accord with a programming language standard utilized in programming industrial controllers; assess an applicability of the second programming language with regard to programming the industrial controller in accord with the programming language standard; and combine at least a portion of the first programming language with at least a portion of the second programming language to facilitate creation of a third programming language, wherein the first programming language, the second programming language and the third programming language are disparate and the third programming language is utilized to program the industrial controller in accord with the programming language standard.
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6. A system, comprising: a memory that stores at least one computer-executable component; and a processor, communicatively coupled to the memory, that facilitates execution of the at least one computer-executable component, the at least one computer-executable component, comprising: an interface component configured to receive first data from a first programming language and second data from a second programming language, wherein at least one of the first programming language or the second programming language is a graphical programming language; and an editor component configured to: assess an applicability of the first programming language with regard to programming the industrial controller in accord with a programming language standard utilized in programming industrial controllers; assess an applicability of the second programming language with regard to programming the industrial controller in accord with the programming language standard; and combine at least a portion of the first programming language with at least a portion of the second programming language to facilitate creation of a third programming language, wherein the first programming language, the second programming language and the third programming language are disparate and the third programming language is utilized to program the industrial controller in accord with the programming language standard. 16. The system of claim 6 , the at least one computer-executable component further comprising a panel component configured to facilitate a drag-and-drop operation of at least one shape from a selected stencil within a document associated with at least one of the first programming language, the second programming language or the third programming language.
| 0.529024 |
8,346,754 | 1 | 3 |
1. A computer program embedded in a non-transitory computer-readable storage medium, when executed by one or more processors, for generating a link title, the computer program comprising: program instructions for determining a context webpage URL (Uniform Resource Locator) and a link URL to be shown as a web result, wherein the link URL is embedded inside the context webpage; program instructions for evaluating generation parameters for a plurality of sources, the generation parameters indicating a probability of the corresponding source for picking words from a link title for the link URL, the generation parameters for a given source including a probability α s that the given source, when asked to construct a text instance, picks a word from a true title; program instructions for generating a plurality of candidates for the link title; program instructions for computing a likelihood for each candidate considering the generation parameters, the context webpage and words from the plurality of sources; program instructions for selecting a candidate with a highest likelihood; and program instructions for presenting to a user the context webpage URL and the link URL, wherein the selected candidate is presented as the link title for the link URL.
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1. A computer program embedded in a non-transitory computer-readable storage medium, when executed by one or more processors, for generating a link title, the computer program comprising: program instructions for determining a context webpage URL (Uniform Resource Locator) and a link URL to be shown as a web result, wherein the link URL is embedded inside the context webpage; program instructions for evaluating generation parameters for a plurality of sources, the generation parameters indicating a probability of the corresponding source for picking words from a link title for the link URL, the generation parameters for a given source including a probability α s that the given source, when asked to construct a text instance, picks a word from a true title; program instructions for generating a plurality of candidates for the link title; program instructions for computing a likelihood for each candidate considering the generation parameters, the context webpage and words from the plurality of sources; program instructions for selecting a candidate with a highest likelihood; and program instructions for presenting to a user the context webpage URL and the link URL, wherein the selected candidate is presented as the link title for the link URL. 3. The computer program as recited in claim 1 , wherein the generation parameters for the given source further include: a probability β s that the given source, when asked to construct the text instance, picks a word from the context webpage, a weight θ s associated with a relevance for the given source, the relevance indicating a quality of the given source to generate text instances that are related to the target URL, and a weight θ len associated with the length of the true title.
| 0.624615 |
9,704,069 | 11 | 13 |
11. An image processing apparatus for classifying each of a plurality of regions in an image to one of a plurality of predefined classes using classification confidences, the apparatus comprising: a confidence generation means for generating, for each of a plurality of regions of the image, a set of classification confidences, each classification confidence corresponding to one of a plurality of predefined classes and representing the probability of the respective region belonging to the predefined class; and a classification means for classifying the regions in the image, wherein for each of the regions of the image for which an obvious match with one of the predefined classes exists based on the classification confidences associated with the region, classifying the region to the respective predefined class based on the classification confidences associated with the region, the image processing apparatus further comprising: a fuzzy region extraction means for extracting and designating as fuzzy regions one or more regions of the plurality of regions, which do not have an obvious match with one of the plurality of predefined classes based on their set of associated classification confidences; and a confidence update means for updating the classification confidence for each such fuzzy region based on the sets of classification confidences associated with adjacent regions thereof, wherein the classification means further classifies the fuzzy regions to respective predefined classes based on the updated classification confidences.
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11. An image processing apparatus for classifying each of a plurality of regions in an image to one of a plurality of predefined classes using classification confidences, the apparatus comprising: a confidence generation means for generating, for each of a plurality of regions of the image, a set of classification confidences, each classification confidence corresponding to one of a plurality of predefined classes and representing the probability of the respective region belonging to the predefined class; and a classification means for classifying the regions in the image, wherein for each of the regions of the image for which an obvious match with one of the predefined classes exists based on the classification confidences associated with the region, classifying the region to the respective predefined class based on the classification confidences associated with the region, the image processing apparatus further comprising: a fuzzy region extraction means for extracting and designating as fuzzy regions one or more regions of the plurality of regions, which do not have an obvious match with one of the plurality of predefined classes based on their set of associated classification confidences; and a confidence update means for updating the classification confidence for each such fuzzy region based on the sets of classification confidences associated with adjacent regions thereof, wherein the classification means further classifies the fuzzy regions to respective predefined classes based on the updated classification confidences. 13. The image processing apparatus according to claim 11 , wherein the fuzzy region extraction means comprises: a confidence map generation unit for creating a confidence map for each predefined class based on the classification confidence of each region; a region segmentation unit for segmenting each confidence map into foreground and background regions of each predefined class based on the confidence maps and predefined thresholds; and a fuzzy region judgment unit for judging region, which is not segmented into the foreground region of one and only one predefined class, to be a fuzzy region.
| 0.5 |
5,544,049 | 1 | 6 |
1. A computer implemented method for performing a search of a plurality of documents for similarity to a query having multiple terms using an inverted index of the plurality of documents, the method comprising the sequential steps of: (a) searching the inverted index for each of the query terms and determining a number of occurrences of the query terms in a first document; (b) calculating a similarity score for the first document based on the number of occurrences of the query terms in the first document; (c) searching the inverted index for each of the query terms and determining a number of occurrences of the query terms in a subsequent document; (d) calculating a similarity score for the subsequent document based on the number of occurrences of the query terms in the subsequent document; and (e) repeating steps (c) and (d) until a similarity score has been calculated for each of the plurality of documents.
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1. A computer implemented method for performing a search of a plurality of documents for similarity to a query having multiple terms using an inverted index of the plurality of documents, the method comprising the sequential steps of: (a) searching the inverted index for each of the query terms and determining a number of occurrences of the query terms in a first document; (b) calculating a similarity score for the first document based on the number of occurrences of the query terms in the first document; (c) searching the inverted index for each of the query terms and determining a number of occurrences of the query terms in a subsequent document; (d) calculating a similarity score for the subsequent document based on the number of occurrences of the query terms in the subsequent document; and (e) repeating steps (c) and (d) until a similarity score has been calculated for each of the plurality of documents. 6. The method of claim 1, wherein a similarity score for each document is calculated before a search is performed for occurrences of the query terms in a subsequent document.
| 0.589623 |
9,501,592 | 12 | 17 |
12. A system for implementing analog behavioral modeling and IP (intellectual property) integration using a Hardware Description Language, comprising: at least one processor or at least one processor core that is at least to: invoke a nettype and resolution function management module that is at least partially stored in memory and includes or functions in conjunction with at least one processor or at least one processor core to determine a set of built-in nettypes including at least one wire-real nettype in a SystemVerilog modeling environment; define a discipline with a domain type of a domain as a native capability of the SystemVerilog modeling environment at least by binding one or more attributes of the domain; characterize at least one real-valued net of the one or more real-valued nets with the discipline associated with the at least one real-valued net and one or more characteristics of the discipline; determine or identify plurality of resolution functions for the set of built-in nettypes natively in the SystemVerilog modeling environment, the plurality of resolution functions including at least one built-in resolution function and at least one modified resolution function modified from a built-in resolution function; port an analog or a mixed-signal portion including at least the at least one real-valued net of the one or more real-valued nets and information about the domain and the discipline into an electronic design by using at least native real modeling capabilities of the SystemVerilog modeling environment without recreating details of the analog or mixed-signal portion; and reducing computational resource utilization at least by elaborating the electronic design into an elaborated electronic design and by performing multiple verification or simulation tasks, at a simulation or verification module residing on one computing node and receiving the electronic design from a separate computing node, for the elaborated electronic design with the set of native real modeling capabilities of the SystemVerilog modeling environment.
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12. A system for implementing analog behavioral modeling and IP (intellectual property) integration using a Hardware Description Language, comprising: at least one processor or at least one processor core that is at least to: invoke a nettype and resolution function management module that is at least partially stored in memory and includes or functions in conjunction with at least one processor or at least one processor core to determine a set of built-in nettypes including at least one wire-real nettype in a SystemVerilog modeling environment; define a discipline with a domain type of a domain as a native capability of the SystemVerilog modeling environment at least by binding one or more attributes of the domain; characterize at least one real-valued net of the one or more real-valued nets with the discipline associated with the at least one real-valued net and one or more characteristics of the discipline; determine or identify plurality of resolution functions for the set of built-in nettypes natively in the SystemVerilog modeling environment, the plurality of resolution functions including at least one built-in resolution function and at least one modified resolution function modified from a built-in resolution function; port an analog or a mixed-signal portion including at least the at least one real-valued net of the one or more real-valued nets and information about the domain and the discipline into an electronic design by using at least native real modeling capabilities of the SystemVerilog modeling environment without recreating details of the analog or mixed-signal portion; and reducing computational resource utilization at least by elaborating the electronic design into an elaborated electronic design and by performing multiple verification or simulation tasks, at a simulation or verification module residing on one computing node and receiving the electronic design from a separate computing node, for the elaborated electronic design with the set of native real modeling capabilities of the SystemVerilog modeling environment. 17. The system of claim 12 , in which the at least one processor or at least one processor core is further to: determine whether non-SystemVerilog compliant usage exists; determine whether an unsupported wreal concatenation exists; and determine one or more additional requirements based at least in part upon existence of a port size mismatch or of the unsupported wreal concatenation.
| 0.817753 |
8,041,771 | 1 | 8 |
1. A controller for a display screen, comprising: an input element for receiving character information from a user input interface; an output element for providing display information to the display screen; an electronic storage element for storing a symbol character set comprising a sequence of non-text symbol characters; and a processor element, operatively coupled to each of the input element, output element and electronic storage element, for generating display information comprising an address field with an address contained therein by (i) receiving a plurality of inputs for the address field from the input element; (ii) adding text characters to the address field of the display information corresponding to received inputs that are text character inputs; and (iii) detecting repetitive successive inputs of a predetermined delimiter, selecting a non-text symbol character from the symbol character set in dependence on a number of times the delimiter has been repetitively input without any intervening inputs, and adding the selected non-text symbol character to the address field of the display information when an input other than the delimiter is received.
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1. A controller for a display screen, comprising: an input element for receiving character information from a user input interface; an output element for providing display information to the display screen; an electronic storage element for storing a symbol character set comprising a sequence of non-text symbol characters; and a processor element, operatively coupled to each of the input element, output element and electronic storage element, for generating display information comprising an address field with an address contained therein by (i) receiving a plurality of inputs for the address field from the input element; (ii) adding text characters to the address field of the display information corresponding to received inputs that are text character inputs; and (iii) detecting repetitive successive inputs of a predetermined delimiter, selecting a non-text symbol character from the symbol character set in dependence on a number of times the delimiter has been repetitively input without any intervening inputs, and adding the selected non-text symbol character to the address field of the display information when an input other than the delimiter is received. 8. The controller of claim 1 wherein a plurality of different predetermined symbol character sets of non-text symbol characters are stored on the electronic storage element, the processor element choosing a specific one of the symbol character sets in dependence on a type of the address field, wherein the selected non-text symbol character is selected from the chosen symbol character set.
| 0.574074 |
8,150,922 | 18 | 27 |
18. A wireless mobile terminal comprising: a processor; a display, coupled to the processor; at least one input device, coupled to the processor; and a storage device, coupled to the processor, having stored thereon executable instructions that, when executed by the processor, cause the processor to at least receive, via the at least one input device instructions to establish a plurality of chat threads, receive a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content, transmit a plurality of outbound chat messages, input via the at least one input device, corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously display the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display, receive at the at least one input device a selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed inbound and sent chat messages; and in response to the selection of the displayed message content of the user-selected displayed chat message, visually highlight in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the selection, and further in response to said user selection, display in the title bar of the chat history display a plurality of display identifiers representative of a sender and each of one or more recipients of the user-selected displayed chat message.
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18. A wireless mobile terminal comprising: a processor; a display, coupled to the processor; at least one input device, coupled to the processor; and a storage device, coupled to the processor, having stored thereon executable instructions that, when executed by the processor, cause the processor to at least receive, via the at least one input device instructions to establish a plurality of chat threads, receive a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content, transmit a plurality of outbound chat messages, input via the at least one input device, corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously display the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display, receive at the at least one input device a selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed inbound and sent chat messages; and in response to the selection of the displayed message content of the user-selected displayed chat message, visually highlight in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the selection, and further in response to said user selection, display in the title bar of the chat history display a plurality of display identifiers representative of a sender and each of one or more recipients of the user-selected displayed chat message. 27. The wireless mobile terminal of claim 18 , further comprising: display in the single content region of the chat history display a buddy list entry that references a list of user-defined buddies selected in a buddy list display.
| 0.722356 |
9,727,925 | 1 | 8 |
1. A method implemented with a processor, comprising: identifying an internal social network for an enterprise; collecting a set of messages from the internal social network; performing semantic filtering to the set of messages, the semantic filtering reducing an excess noise associated with data that is not relevant to the enterprise; performing semantic analysis upon the set of messages collected from the internal social network to determine a contextual significance of one or more terms in the set of messages; identifying themes in the set of messages, the themes pertaining to at least one of customer preferences, demographic information, industry trends, customer view points; as a result of the performed semantic analysis, clustering together messages that are similar to each other; categorizing the set of messages into a plurality of categories based at least in part on the contextual significance of the one or more terms in the set of messages; associating each category of the plurality of categories with one or more tags; associating respective tags to the set of messages that are categorized as a result of the semantic analysis to generate a set of tagged messages; determining associations between the one or more tags and one or more enterprise applications corresponding to the enterprise such that the set of tagged messages are sent to respective ones of the one or more enterprise applications based at least in part on the determined associations; and storing the tagged messages in an actionable social message store, the actionable message store storing in a table format, for each message, one or more of a source of the message, a topic parameter associated with the message, data associated with the message, and the one or more tags associated with the message, wherein the semantic analysis performed comprises latent semantic analysis (LSA), the LSA referring to a form of statistical language modeling that distinguishes two identical words based on a semantic significance of the word.
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1. A method implemented with a processor, comprising: identifying an internal social network for an enterprise; collecting a set of messages from the internal social network; performing semantic filtering to the set of messages, the semantic filtering reducing an excess noise associated with data that is not relevant to the enterprise; performing semantic analysis upon the set of messages collected from the internal social network to determine a contextual significance of one or more terms in the set of messages; identifying themes in the set of messages, the themes pertaining to at least one of customer preferences, demographic information, industry trends, customer view points; as a result of the performed semantic analysis, clustering together messages that are similar to each other; categorizing the set of messages into a plurality of categories based at least in part on the contextual significance of the one or more terms in the set of messages; associating each category of the plurality of categories with one or more tags; associating respective tags to the set of messages that are categorized as a result of the semantic analysis to generate a set of tagged messages; determining associations between the one or more tags and one or more enterprise applications corresponding to the enterprise such that the set of tagged messages are sent to respective ones of the one or more enterprise applications based at least in part on the determined associations; and storing the tagged messages in an actionable social message store, the actionable message store storing in a table format, for each message, one or more of a source of the message, a topic parameter associated with the message, data associated with the message, and the one or more tags associated with the message, wherein the semantic analysis performed comprises latent semantic analysis (LSA), the LSA referring to a form of statistical language modeling that distinguishes two identical words based on a semantic significance of the word. 8. The method of claim 1 , further comprising utilizing employee profile data to further analyze the collected set of messages.
| 0.751953 |
9,292,576 | 13 | 14 |
13. The method according to claim 7 , further comprising outputting said at least one additional analysis using a user interface on said computerized device.
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13. The method according to claim 7 , further comprising outputting said at least one additional analysis using a user interface on said computerized device. 14. The method according to claim 13 , further comprising displaying said results and a link to a corpus of data indicating how said corpus of data contributed to said hypotheses on said user interface.
| 0.5 |
8,352,276 | 1 | 3 |
1. A method, comprising: conducting at least one voice interaction between at least one agent and at least one client, wherein the at least one agent follows at least one script via at least one of a plurality of panels; logging the at least one voice interaction; evaluating the at least one logged voice interaction via the at least one of the plurality of panels employing panel-by-panel playback with at least one automatic speech recognition component adapted to analyze the at least one voice interaction; generating a score using confidence level thresholds of the least one automatic speech recognition component such that confidence level thresholds are assigned to each of the plurality of panels; and determining whether the at least one agent has adequately followed the at least one script based on the generated score.
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1. A method, comprising: conducting at least one voice interaction between at least one agent and at least one client, wherein the at least one agent follows at least one script via at least one of a plurality of panels; logging the at least one voice interaction; evaluating the at least one logged voice interaction via the at least one of the plurality of panels employing panel-by-panel playback with at least one automatic speech recognition component adapted to analyze the at least one voice interaction; generating a score using confidence level thresholds of the least one automatic speech recognition component such that confidence level thresholds are assigned to each of the plurality of panels; and determining whether the at least one agent has adequately followed the at least one script based on the generated score. 3. The method of claim 1 comprising determining whether the at least one agent has adequately followed the at least one script based on the evaluated at least one logged voice interaction.
| 0.761421 |
10,074,361 | 15 | 18 |
15. A processor-implemented speech recognition method, the method comprising: receiving input of first speech to be recognized; extracting some frames from all frames of the first speech; generating a second speech by using the extracted frames; calculating an acoustic score of the second speech by using a Deep Neural Network (DNN)-based acoustic model; calculating an acoustic score for one or more frames, other than the extracted frames, of the first speech based on the calculated acoustic score of the second speech; and recognizing the first speech based on the calculated acoustic score of the second speech and the calculated acoustic score for the one or more frames of the first speech.
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15. A processor-implemented speech recognition method, the method comprising: receiving input of first speech to be recognized; extracting some frames from all frames of the first speech; generating a second speech by using the extracted frames; calculating an acoustic score of the second speech by using a Deep Neural Network (DNN)-based acoustic model; calculating an acoustic score for one or more frames, other than the extracted frames, of the first speech based on the calculated acoustic score of the second speech; and recognizing the first speech based on the calculated acoustic score of the second speech and the calculated acoustic score for the one or more frames of the first speech. 18. The method of claim 15 , wherein the calculating of the acoustic score of the first speech comprises using two acoustic scores of frames of the second speech as acoustic scores of two frames of the first speech that correspond to the two frames of the second speech and using at least one acoustic score of the frames of the second speech for an acoustic score of an adjacent frame, of the first speech, that is adjacent to the two frames of the first speech.
| 0.5 |
8,645,813 | 14 | 19 |
14. A computing system, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the computing system to: upon receiving a request from a user to view a markup document, determining a difference between a version of the markup document previously presented to the user; and a current version of the markup document; accessing user activity tracking information to determine portions of the markup document that were previously displayed to the user; based on the determined difference between versions and the user activity tracking information, determine one or more portions of the current version that have not been displayed to the user; based on the difference information and the user activity tracking information, determining portions of the current version of the markup document that have not previously been displayed to the user; providing the markup document for display to the user at a client system, content of the markup document being modified to include one or more intra-page bookmarks, such that the portion that was not previously displayed to the user is distinguished from the portion that was previously displayed in a manner enabling the user to locate and view the portion that was not previously displayed to the user; enabling the user to manually insert the one or more intra-page bookmarks in the markup document allowing the user to start at a desired location after closing the markup document; and enabling the user to selectively choose to display the one or more intra-page bookmarks.
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14. A computing system, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the computing system to: upon receiving a request from a user to view a markup document, determining a difference between a version of the markup document previously presented to the user; and a current version of the markup document; accessing user activity tracking information to determine portions of the markup document that were previously displayed to the user; based on the determined difference between versions and the user activity tracking information, determine one or more portions of the current version that have not been displayed to the user; based on the difference information and the user activity tracking information, determining portions of the current version of the markup document that have not previously been displayed to the user; providing the markup document for display to the user at a client system, content of the markup document being modified to include one or more intra-page bookmarks, such that the portion that was not previously displayed to the user is distinguished from the portion that was previously displayed in a manner enabling the user to locate and view the portion that was not previously displayed to the user; enabling the user to manually insert the one or more intra-page bookmarks in the markup document allowing the user to start at a desired location after closing the markup document; and enabling the user to selectively choose to display the one or more intra-page bookmarks. 19. The computing system of claim 14 , wherein the one or more intra-page bookmarks includes at least one of highlighting a portion of the markup document or text.
| 0.685328 |
9,760,380 | 10 | 12 |
10. In a computing environment, a system, comprising: a store operable to provide access to a grammar, the grammar defining a format for serializing an object, the grammar representing rules for serializing the object that preserve embedded objects and relationships in a serialized representation of the object, the grammar defining a header and a payload for serializing the object, the header including metadata of the grammar the metadata usable in de-serializing objects serialized using the grammar, the grammar having rules for de-serializing the objects based on a difference between a minor version of a first serialization engine to serialize the object and a minor version of a first de-serialization engine to de-serialize the object and a difference between a major version of the first serialization engine to serialize the object and a major version of the first de-serialization engine to de-serialize the object, the payload including an identifier of each descendent object of the object, the payload further including reference data for each reference, if any, included in the object, the reference data indicating relationships of the object, the reference data potentially referring to one or more of: an object type supported by a scripting environment in which the object resides, an object type supported by a host environment of the scripting environment, and a foreign object type that is defined outside of both the scripting environment and the host environment; and the first serialization engine operable to use the grammar to serialize the object into serialized data.
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10. In a computing environment, a system, comprising: a store operable to provide access to a grammar, the grammar defining a format for serializing an object, the grammar representing rules for serializing the object that preserve embedded objects and relationships in a serialized representation of the object, the grammar defining a header and a payload for serializing the object, the header including metadata of the grammar the metadata usable in de-serializing objects serialized using the grammar, the grammar having rules for de-serializing the objects based on a difference between a minor version of a first serialization engine to serialize the object and a minor version of a first de-serialization engine to de-serialize the object and a difference between a major version of the first serialization engine to serialize the object and a major version of the first de-serialization engine to de-serialize the object, the payload including an identifier of each descendent object of the object, the payload further including reference data for each reference, if any, included in the object, the reference data indicating relationships of the object, the reference data potentially referring to one or more of: an object type supported by a scripting environment in which the object resides, an object type supported by a host environment of the scripting environment, and a foreign object type that is defined outside of both the scripting environment and the host environment; and the first serialization engine operable to use the grammar to serialize the object into serialized data. 12. The system of claim 10 , further comprising a second serialization engine operable to use the grammar to serialize host objects that are referenced by the object.
| 0.582915 |
7,941,418 | 2 | 3 |
2. The method of claim 1 , and before step (a) of generating a plurality of web threads, the method further comprises: obtaining a seed word list; and enqueueing the word queue using words from the seed word list.
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2. The method of claim 1 , and before step (a) of generating a plurality of web threads, the method further comprises: obtaining a seed word list; and enqueueing the word queue using words from the seed word list. 3. The method of claim 2 , and prior to enqueueing the word queue using words from the seed word list, the method further comprises randomly shuffling the seed words list.
| 0.5 |
6,018,730 | 1 | 9 |
1. A method for creating a business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data and calculations required for the business simulation and communication of information to provide a dynamic, goal based educational learning experience, comprising the steps of: (a) accessing the information in the spreadsheet object component of the rule-based expert system to retrieve indicia representative of a goal; (b) utilizing the information in the spreadsheet object component of the rule-based expert system to integrate examples into the business simulation to provide assistance with achieving the goal; (c) monitoring answers to questions posed to evaluate progress of a student toward the goal utilizing the spreadsheet object component of the rule-based expert system and providing dynamic, goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages that further assists the student in accomplishing the goal; (d) analyzing the answers from the student utilizing system tools to compare the answers with a standard for achieving the goal; and (e) providing a linkage to a website of information to supplement the information stored in the spreadsheet object component to assist with achieving the goal.
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1. A method for creating a business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data and calculations required for the business simulation and communication of information to provide a dynamic, goal based educational learning experience, comprising the steps of: (a) accessing the information in the spreadsheet object component of the rule-based expert system to retrieve indicia representative of a goal; (b) utilizing the information in the spreadsheet object component of the rule-based expert system to integrate examples into the business simulation to provide assistance with achieving the goal; (c) monitoring answers to questions posed to evaluate progress of a student toward the goal utilizing the spreadsheet object component of the rule-based expert system and providing dynamic, goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages that further assists the student in accomplishing the goal; (d) analyzing the answers from the student utilizing system tools to compare the answers with a standard for achieving the goal; and (e) providing a linkage to a website of information to supplement the information stored in the spreadsheet object component to assist with achieving the goal. 9. A method for creating a business simulation as recited in claim 1, wherein the website information is based on the business simulation context.
| 0.605405 |
8,069,046 | 1 | 2 |
1. A method for interpreting natural language utterances using out-of-vocabulary and noise toleration capabilities, comprising: recognizing, on an electronic device, a phoneme stream contained in an utterance received at the electronic device; mapping, on the electronic device, the recognized phoneme stream to a syllable series that includes one or more syllables that an acoustic grammar phonemically represents in accordance with an acoustic speech model; and generating, on the electronic device, an interpretation of the utterance that includes the one or more syllables in the syllable series mapped to the recognized phoneme stream.
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1. A method for interpreting natural language utterances using out-of-vocabulary and noise toleration capabilities, comprising: recognizing, on an electronic device, a phoneme stream contained in an utterance received at the electronic device; mapping, on the electronic device, the recognized phoneme stream to a syllable series that includes one or more syllables that an acoustic grammar phonemically represents in accordance with an acoustic speech model; and generating, on the electronic device, an interpretation of the utterance that includes the one or more syllables in the syllable series mapped to the recognized phoneme stream. 2. The method of claim 1 , wherein the acoustic speech model phonemically represents the one or more syllables with acoustic elements for an onset, a nucleus, and a coda.
| 0.5 |
9,418,111 | 26 | 29 |
26. One or more non-transitory computer-readable storage media encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving input specifying, explicitly or implicitly: an aggregation function agg; <to_agg>, a variable that will contain values to be aggregated; <variables>, one or more variables that are local to <range> and <term>; <range>, a constraint on the values of the variables <variables> that defines a relation s that has a domain and a range, wherein the domain of s is free variables and the range of s is variables listed in <variables>; <term>, a constraint that constrains <to_agg> to values that will be aggregated, which defines a relation t that has a domain and a range, wherein the domain of t is the variables listed in <variables> and the range of t is <to_agg>; and a recursive relation definition that has a recursive term, the recursive term including an aggregation construct agg* for the aggregation function agg; and evaluating the recursive relation definition, including evaluating the aggregation construct agg* for the aggregation function agg according to the semantics
agg*( s,t )={( m ,agg( n ))|∃ d :( m,d )ε s,nεΠ{|t ( y )| yεs ( m )|}}.
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26. One or more non-transitory computer-readable storage media encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving input specifying, explicitly or implicitly: an aggregation function agg; <to_agg>, a variable that will contain values to be aggregated; <variables>, one or more variables that are local to <range> and <term>; <range>, a constraint on the values of the variables <variables> that defines a relation s that has a domain and a range, wherein the domain of s is free variables and the range of s is variables listed in <variables>; <term>, a constraint that constrains <to_agg> to values that will be aggregated, which defines a relation t that has a domain and a range, wherein the domain of t is the variables listed in <variables> and the range of t is <to_agg>; and a recursive relation definition that has a recursive term, the recursive term including an aggregation construct agg* for the aggregation function agg; and evaluating the recursive relation definition, including evaluating the aggregation construct agg* for the aggregation function agg according to the semantics
agg*( s,t )={( m ,agg( n ))|∃ d :( m,d )ε s,nεΠ{|t ( y )| yεs ( m )|}}. 29. The one or more non-transitory computer-readable storage media of claim 26 , further comprising: receiving input specifying <to_agg> explicitly.
| 0.709804 |
9,792,921 | 1 | 3 |
1. A method of embedding code words into an audio signal, the method comprising: receiving pairs of code words, each pair of code words comprising an ID code word and a synchronisation code word, wherein the ID code words of all of the pairs for a given audio signal are the same and wherein each synchronization code word for the audio signal is unique; encoding the code words of each pair of code words separately to form encoded code word signals; receiving an audio signal; and combining the encoded code word signals with different portions of the received audio signal to form a modified audio signal that carries the pairs of code words distributed within the audio signal.
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1. A method of embedding code words into an audio signal, the method comprising: receiving pairs of code words, each pair of code words comprising an ID code word and a synchronisation code word, wherein the ID code words of all of the pairs for a given audio signal are the same and wherein each synchronization code word for the audio signal is unique; encoding the code words of each pair of code words separately to form encoded code word signals; receiving an audio signal; and combining the encoded code word signals with different portions of the received audio signal to form a modified audio signal that carries the pairs of code words distributed within the audio signal. 3. The method according to claim 1 , wherein the audio signal comprises one or more break points and wherein one or more additional synchronisation code words are encoded into the audio signal after a break point.
| 0.544872 |
9,244,903 | 8 | 12 |
8. A non-transitory computer-readable medium storing instructions, which when executed by a processing device, cause the processing device to perform method comprising: deriving one or more optimized pattern matching rules from an original pattern matching rule, wherein the original pattern matching rule includes a constant text string and one or more regular expression operators that define variable patterns of characters that occur prior to or following the text string in order to satisfy the original pattern matching rule, and wherein deriving one or more optimized pattern matching rules includes extracting the constant text string from the original pattern matching rule to generate an optimized pattern matching rule including the constant text string and excluding the one or more regular expression operators; determining if the one or more optimized pattern matching rules match any of the data to be parsed; bypassing an application of the original pattern matching rule to the data when the optimized pattern matching rule including the constant string does not match the data; and applying the original pattern matching rule to the data when the one or more optimized pattern matching rules match the data, wherein applying the original pattern matching rule includes determining if the original pattern matching rule matches any of the data to be parsed.
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8. A non-transitory computer-readable medium storing instructions, which when executed by a processing device, cause the processing device to perform method comprising: deriving one or more optimized pattern matching rules from an original pattern matching rule, wherein the original pattern matching rule includes a constant text string and one or more regular expression operators that define variable patterns of characters that occur prior to or following the text string in order to satisfy the original pattern matching rule, and wherein deriving one or more optimized pattern matching rules includes extracting the constant text string from the original pattern matching rule to generate an optimized pattern matching rule including the constant text string and excluding the one or more regular expression operators; determining if the one or more optimized pattern matching rules match any of the data to be parsed; bypassing an application of the original pattern matching rule to the data when the optimized pattern matching rule including the constant string does not match the data; and applying the original pattern matching rule to the data when the one or more optimized pattern matching rules match the data, wherein applying the original pattern matching rule includes determining if the original pattern matching rule matches any of the data to be parsed. 12. The medium of claim 8 , further comprising: dividing the plurality of pattern matching rules into subgroups, wherein a first subgroup contains the one or more optimized pattern matching rules, and wherein a second subgroup contains all other pattern matching rules; and applying each of the first subgroup before applying the second subgroup.
| 0.57598 |
9,105,068 | 1 | 5 |
1. A method comprising, by a computing device: accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising: a first-user node corresponding to a first user associated with an online social network; and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network; receiving, from a client system of the first user, an unstructured text query inputted by the first user, wherein the unstructured text query comprises one or more n-grams; identifying, based on the unstructured text query, one or more edges and one or more second nodes of the social graph, each of the identified edges or identified nodes corresponding to at least one of the n-grams, wherein identifying the one or more edges and one or more second nodes comprises: determining a second score for each n-gram that corresponds to one of the edges or second nodes; selecting one or more edges having a second score greater than an edge-threshold score, each of the identified edges corresponding to at least one of the n-grams; and selecting one or more second nodes having a second score greater than a node-threshold score, each of the identified second nodes being connected to at least one of the identified edges, each of the identified second nodes corresponding to at least one of the n-grams; accessing a context-free grammar model comprising a plurality of grammars, each grammar comprising one or more query tokens; identifying one or more grammars, each identified grammar having one or more query tokens corresponding to at least one of the identified second nodes and at least one of the identified edges of the social graph; determining a first score for each identified grammar; generating one or more structured queries, each structured query corresponding to an identified grammar having first score greater than a grammar-threshold score wherein the structured query comprises a natural-language string generated by the identified grammar, each structured query comprising the query tokens of the corresponding identified grammar, wherein one or more of the query tokens of the structured query corresponds to at least one of the identified second nodes and at least one of the or identified edges of the social graph; and sending, to the client system of the first user, one or more of the structured queries as suggested queries for display to the first user in response to the unstructured text query inputted by the first user.
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1. A method comprising, by a computing device: accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising: a first-user node corresponding to a first user associated with an online social network; and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network; receiving, from a client system of the first user, an unstructured text query inputted by the first user, wherein the unstructured text query comprises one or more n-grams; identifying, based on the unstructured text query, one or more edges and one or more second nodes of the social graph, each of the identified edges or identified nodes corresponding to at least one of the n-grams, wherein identifying the one or more edges and one or more second nodes comprises: determining a second score for each n-gram that corresponds to one of the edges or second nodes; selecting one or more edges having a second score greater than an edge-threshold score, each of the identified edges corresponding to at least one of the n-grams; and selecting one or more second nodes having a second score greater than a node-threshold score, each of the identified second nodes being connected to at least one of the identified edges, each of the identified second nodes corresponding to at least one of the n-grams; accessing a context-free grammar model comprising a plurality of grammars, each grammar comprising one or more query tokens; identifying one or more grammars, each identified grammar having one or more query tokens corresponding to at least one of the identified second nodes and at least one of the identified edges of the social graph; determining a first score for each identified grammar; generating one or more structured queries, each structured query corresponding to an identified grammar having first score greater than a grammar-threshold score wherein the structured query comprises a natural-language string generated by the identified grammar, each structured query comprising the query tokens of the corresponding identified grammar, wherein one or more of the query tokens of the structured query corresponds to at least one of the identified second nodes and at least one of the or identified edges of the social graph; and sending, to the client system of the first user, one or more of the structured queries as suggested queries for display to the first user in response to the unstructured text query inputted by the first user. 5. The method of claim 1 , wherein determining the first score for each grammar is based on the degree of separation between the first-user node and the identified second nodes corresponding to the query tokens of the grammar.
| 0.5 |
9,009,048 | 2 | 7 |
2. The method of claim 1 , further comprising classifying each of the plurality of frames according to respective energy levels based on predetermined criteria, wherein in the detecting of the energy changes between the plurality of frames, detection of the energy change is based on differences in the respective classified energy levels.
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2. The method of claim 1 , further comprising classifying each of the plurality of frames according to respective energy levels based on predetermined criteria, wherein in the detecting of the energy changes between the plurality of frames, detection of the energy change is based on differences in the respective classified energy levels. 7. The method of claim 2 , further comprising updating the predetermined criteria according to detected energies of the signal.
| 0.881308 |
8,849,755 | 1 | 3 |
1. A configuration information management apparatus virtually federating configuration information scattered in operation management middlewares, the configuration information management apparatus comprising: a data management unit that stores therein configuration items each having attribute items each including an attribute name and an attribute value described according to different schemas, a same configuration item being described by different attribute names according to the schemas and a same attribute value being associated with different attribute names of the different schemas corresponding to the same configuration item; a dictionary candidate retrieval unit that refers to correspondence relation comparing the attribute items of a first schema with the attribute items of a second schema in the same configuration item for each of the configuration items stored in the data management unit, specifies an attribute item of the first schema and an attribute item of the second schema and, when retrieving the attribute name corresponding to the same attribute value between the specified attribute item of the first schema and the specified attribute item of the second schema, retrieves, as a dictionary candidate, a combination of the retrieved attribute name of the attribute item of the first schema and the retrieved attribute name of the attribute item of the second schema from the data management unit; a dictionary generation unit that generates dictionary information defining synonymity between the attribute names of the attribute items described according to the different schemas based on the dictionary candidate retrieved by the dictionary candidate retrieval unit; and a dictionary management unit that stores therein the dictionary information generated by the dictionary generation unit.
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1. A configuration information management apparatus virtually federating configuration information scattered in operation management middlewares, the configuration information management apparatus comprising: a data management unit that stores therein configuration items each having attribute items each including an attribute name and an attribute value described according to different schemas, a same configuration item being described by different attribute names according to the schemas and a same attribute value being associated with different attribute names of the different schemas corresponding to the same configuration item; a dictionary candidate retrieval unit that refers to correspondence relation comparing the attribute items of a first schema with the attribute items of a second schema in the same configuration item for each of the configuration items stored in the data management unit, specifies an attribute item of the first schema and an attribute item of the second schema and, when retrieving the attribute name corresponding to the same attribute value between the specified attribute item of the first schema and the specified attribute item of the second schema, retrieves, as a dictionary candidate, a combination of the retrieved attribute name of the attribute item of the first schema and the retrieved attribute name of the attribute item of the second schema from the data management unit; a dictionary generation unit that generates dictionary information defining synonymity between the attribute names of the attribute items described according to the different schemas based on the dictionary candidate retrieved by the dictionary candidate retrieval unit; and a dictionary management unit that stores therein the dictionary information generated by the dictionary generation unit. 3. The configuration information management apparatus according to claim 1 , further comprising a dictionary displaying unit that displays the dictionary information generated by the dictionary generation unit on a display screen.
| 0.915192 |
9,262,438 | 1 | 7 |
1. A method implemented in a computer system for extracting location information from unstructured text by utilizing a language model and a classifier, the method comprising: obtaining, by a computer, the unstructured text; identifying by the computer, via use of the language model and based upon the received unstructured text, a location referred to by the received unstructured text; and determining by the computer, via use of the classifier, whether the location referred to by the received unstructured text is also a physical location from where the received unstructured text was sent; wherein the language model is based upon a source of data that is distinct from the unstructured text.
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1. A method implemented in a computer system for extracting location information from unstructured text by utilizing a language model and a classifier, the method comprising: obtaining, by a computer, the unstructured text; identifying by the computer, via use of the language model and based upon the received unstructured text, a location referred to by the received unstructured text; and determining by the computer, via use of the classifier, whether the location referred to by the received unstructured text is also a physical location from where the received unstructured text was sent; wherein the language model is based upon a source of data that is distinct from the unstructured text. 7. The method of claim 1 , further comprising determining, by the computer, if the received unstructured text is location-neutral.
| 0.841463 |
7,561,158 | 11 | 12 |
11. A storage unit having computer code implementing a method of displaying feature importance in predictive modeling, said method comprising the steps of: calling a regression engine on a set of training data that performs predictive modeling on the set of training data and outputs importance measures for explanatory variables for predicting a target variable; calling a graphical model structural learning module that receives the importance measures output by the regression engine, computes correlational information among the explanatory variables, and outputs a graph on the explanatory variables and representing a feature correlation structure among said explanatory variables; and displaying a feature importance measure, output by the regression engine, for each node in the graph, as an attribute of a node in the graph output by the graphical model structural learning module, to combine the predictive modeling of the regression engine with the feature correlation among the explanatory variables.
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11. A storage unit having computer code implementing a method of displaying feature importance in predictive modeling, said method comprising the steps of: calling a regression engine on a set of training data that performs predictive modeling on the set of training data and outputs importance measures for explanatory variables for predicting a target variable; calling a graphical model structural learning module that receives the importance measures output by the regression engine, computes correlational information among the explanatory variables, and outputs a graph on the explanatory variables and representing a feature correlation structure among said explanatory variables; and displaying a feature importance measure, output by the regression engine, for each node in the graph, as an attribute of a node in the graph output by the graphical model structural learning module, to combine the predictive modeling of the regression engine with the feature correlation among the explanatory variables. 12. The storage unit recited in claim 11 , wherein the feature importance measure of the method of displaying feature importance in predictive modeling, output by the regression engine, for each node in the graph, is displayed as an attribute selected from color, size, and texture.
| 0.746403 |
9,407,608 | 8 | 9 |
8. A system for adjusting tuning settings based on an attribute of a client, the system comprising: a device intermediary to a client and a content server, the device configured to identify a policy for evaluating the client responsive to a first request of the client to access the content server, the policy specifying an expression comprising a clause to be evaluated by the client to identify an attribute of the client, the attribute identifying at least one of an application of the client, network data, a characteristic of a network to which the client is connected or user preferences; a server intermediary to at least the client and the content server, the server comprising tuning settings for improving performance of communications of response data from the content server to the client; wherein the device is configured to transmit, responsive to identifying the policy for evaluating the client, a second request to the client to have the client evaluate the clause and receive from the client, a response to the second request, the response comprising the attribute of the client; and wherein the server is configured to receive the attribute of the client from the device and adjust the tuning settings based on the attribute of the client to improve the performance of communications of the response data from the content server to the client.
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8. A system for adjusting tuning settings based on an attribute of a client, the system comprising: a device intermediary to a client and a content server, the device configured to identify a policy for evaluating the client responsive to a first request of the client to access the content server, the policy specifying an expression comprising a clause to be evaluated by the client to identify an attribute of the client, the attribute identifying at least one of an application of the client, network data, a characteristic of a network to which the client is connected or user preferences; a server intermediary to at least the client and the content server, the server comprising tuning settings for improving performance of communications of response data from the content server to the client; wherein the device is configured to transmit, responsive to identifying the policy for evaluating the client, a second request to the client to have the client evaluate the clause and receive from the client, a response to the second request, the response comprising the attribute of the client; and wherein the server is configured to receive the attribute of the client from the device and adjust the tuning settings based on the attribute of the client to improve the performance of communications of the response data from the content server to the client. 9. The system of claim 8 , wherein the expression comprises a plurality of clauses joined by one or more logical operators, each clause of the plurality of clauses to be evaluated by the client to identify a different attribute of the client.
| 0.5 |
9,535,506 | 7 | 14 |
7. A mobile computing device comprising: a motion sensor; a memory; at least one processor; an algorithm selection module, stored in the memory and executed via the at least one processor, to select a subset of one or more gesture recognition algorithms from a plurality of gesture recognition algorithms based, at least in part, on an amplitude of a data from the motion sensor and determine an energy magnitude of the data from the motion sensor based on the amplitude of the data from the motion sensor; and a gesture recognition module, stored in the memory and executed via the at least one processor, to determine a gesture from the data from the motion sensor based, at least in part, on applying the subset of gesture recognition algorithm(s) to the data from the motion sensor.
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7. A mobile computing device comprising: a motion sensor; a memory; at least one processor; an algorithm selection module, stored in the memory and executed via the at least one processor, to select a subset of one or more gesture recognition algorithms from a plurality of gesture recognition algorithms based, at least in part, on an amplitude of a data from the motion sensor and determine an energy magnitude of the data from the motion sensor based on the amplitude of the data from the motion sensor; and a gesture recognition module, stored in the memory and executed via the at least one processor, to determine a gesture from the data from the motion sensor based, at least in part, on applying the subset of gesture recognition algorithm(s) to the data from the motion sensor. 14. The mobile computing device of claim 7 , wherein the motion sensor comprises a gyroscope.
| 0.873641 |
8,239,299 | 8 | 17 |
8. A computer-implemented method of managing data, comprising: defining types as a type library for use in a financial intelligence system; creating member properties for the types, the member properties associated with behaviors for the types; generating rules based on the types; storing the rules as a hierarchy of classes, the hierarchy of classes including a tree of application types and, for each application type in the tree, a set of rules associated with the application type; performing a depth-first traversal of the rules of at least one application type in the tree of application types to create an instance of the at least one application type; and generating an application that employs the behaviors based on execution of the rules associated with the instance of the at least one application type; wherein the defining, creating, storing, performing and generating steps are performed by a computer.
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8. A computer-implemented method of managing data, comprising: defining types as a type library for use in a financial intelligence system; creating member properties for the types, the member properties associated with behaviors for the types; generating rules based on the types; storing the rules as a hierarchy of classes, the hierarchy of classes including a tree of application types and, for each application type in the tree, a set of rules associated with the application type; performing a depth-first traversal of the rules of at least one application type in the tree of application types to create an instance of the at least one application type; and generating an application that employs the behaviors based on execution of the rules associated with the instance of the at least one application type; wherein the defining, creating, storing, performing and generating steps are performed by a computer. 17. The method of claim 8 , further comprising generating a type for setting time granularity and a type for workflow review and approver hierarchy.
| 0.569767 |
9,524,289 | 9 | 13 |
9. A system comprising: at least one processor; and memory storing computer-executable instructions that, when executed by the at least one processor, cause the system to: train a classifier using a confirmed annotation, the training comprising updating a corpus of the classifier with a feature extracted from the confirmed annotation, the feature comprising a hypernym of the confirmed annotation and at least one word of the confirmed annotation, the at least one word being adjacent to the hypernym in the confirmed annotation, and wherein extracting the feature comprises: obtaining a concatenated hypernym by concatenating at least two hypernym of the confirmed annotation, obtaining a sequence comprising the concatenated hypernym, and extracting the hypernym from a substring of the confirmed annotation corresponding to the sequence, automatically annotate a text sample and obtain an annotation candidate of a set of annotation candidates for the text sample by replacing an n-gram of the text sample with a hypernym corresponding to the n-grams, classify the set of annotation candidates for the text sample using the classifier, and derive an annotation-derived grammar rule based on an annotation candidate selected as an annotation for the text sample, derive a classifier-derived grammar rule based on the corpus of the classifier, and configure a grammar to include the annotation-derived grammar rule and the classifier-derived grammar rule.
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9. A system comprising: at least one processor; and memory storing computer-executable instructions that, when executed by the at least one processor, cause the system to: train a classifier using a confirmed annotation, the training comprising updating a corpus of the classifier with a feature extracted from the confirmed annotation, the feature comprising a hypernym of the confirmed annotation and at least one word of the confirmed annotation, the at least one word being adjacent to the hypernym in the confirmed annotation, and wherein extracting the feature comprises: obtaining a concatenated hypernym by concatenating at least two hypernym of the confirmed annotation, obtaining a sequence comprising the concatenated hypernym, and extracting the hypernym from a substring of the confirmed annotation corresponding to the sequence, automatically annotate a text sample and obtain an annotation candidate of a set of annotation candidates for the text sample by replacing an n-gram of the text sample with a hypernym corresponding to the n-grams, classify the set of annotation candidates for the text sample using the classifier, and derive an annotation-derived grammar rule based on an annotation candidate selected as an annotation for the text sample, derive a classifier-derived grammar rule based on the corpus of the classifier, and configure a grammar to include the annotation-derived grammar rule and the classifier-derived grammar rule. 13. The system of claim 9 wherein: the classifier is a naive Bayes (NB) classifier.
| 0.958333 |
7,685,620 | 17 | 18 |
17. The computer readable memory of claim 11 further comprising comparing the search parameter to a dictionary.
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17. The computer readable memory of claim 11 further comprising comparing the search parameter to a dictionary. 18. The computer readable memory of claim 17 further comprising obtaining a lexically parsed equivalent and searching the plurality of real-time television signals for a data that matches the lexically parsed equivalent.
| 0.5 |
9,715,490 | 4 | 5 |
4. The method of claim 3 , wherein retrieving one or more preferred languages further comprises: retrieving, by the one or more computer processors, text input in one or more applications by a user; determining, by the one or more computer processors, at least one of: a language setting of the one or more applications, a language setting of the user's one or more devices that include the one or more applications, and a language of the text; and determining, by the one or more computer processors, based, at least in part, on the at least one of the language setting of the one or more applications, the language setting of the one or more devices, and the language of the text, one or more preferred languages of the user.
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4. The method of claim 3 , wherein retrieving one or more preferred languages further comprises: retrieving, by the one or more computer processors, text input in one or more applications by a user; determining, by the one or more computer processors, at least one of: a language setting of the one or more applications, a language setting of the user's one or more devices that include the one or more applications, and a language of the text; and determining, by the one or more computer processors, based, at least in part, on the at least one of the language setting of the one or more applications, the language setting of the one or more devices, and the language of the text, one or more preferred languages of the user. 5. The method of claim 4 , further comprising: determining, by the one or more computer processors, a third confidence level of the language of the text input in one or more applications by the user; determining, by the one or more computer processors, whether the third confidence level exceeds a third pre-defined threshold; responsive to determining the third confidence level exceeds the third pre-defined threshold, determining, by the one or more computer processors, based, at least in part, on the at least one of the language setting of the one or more applications, the language setting of the one or more devices, and the language of the text input in one or more applications by the user, one or more preferred languages of the user; and storing, by the one or more computer processors, the one or more preferred languages.
| 0.5 |
9,858,921 | 9 | 13 |
9. A computer system comprising: one or more computing devices; an interface of the one or more computing devices that is programmed to access a search history that identifies one or more search queries that were previously submitted to one or more search services by one or more client computing devices that are associated with a user; a reverse geocoder that is installed on the one or more computing devices and that is programmed to identify a geographic location to which future voice input from the user is likely to relate based at least in part on the search queries included in the search history, wherein the geographic location is identified independent of a current geographic location of the one or more client computing devices; and a grammar index that is accessible by the one or more computing devices and that includes an index that correlates geographic locations to a plurality of grammars; a grammar selector that is installed on the one or more computing devices and that is programmed to select a first grammar from among the plurality of grammars, before performing automated speech recognition on voice input from the one or more client computing devices, based at least in part on the geographic location identified by the reverse geocoder based at least in part on the search queries included in the search history, wherein the first grammar includes a vocabulary that is relevant to the geographic location that is identified based at least in part on the search queries included in the search history; wherein the interface is further programmed to output information that identifies the first grammar, wherein the outputted information causes a grammar used to analyze subsequently-received voice input from the one or more client computing devices to be changed to the first grammar.
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9. A computer system comprising: one or more computing devices; an interface of the one or more computing devices that is programmed to access a search history that identifies one or more search queries that were previously submitted to one or more search services by one or more client computing devices that are associated with a user; a reverse geocoder that is installed on the one or more computing devices and that is programmed to identify a geographic location to which future voice input from the user is likely to relate based at least in part on the search queries included in the search history, wherein the geographic location is identified independent of a current geographic location of the one or more client computing devices; and a grammar index that is accessible by the one or more computing devices and that includes an index that correlates geographic locations to a plurality of grammars; a grammar selector that is installed on the one or more computing devices and that is programmed to select a first grammar from among the plurality of grammars, before performing automated speech recognition on voice input from the one or more client computing devices, based at least in part on the geographic location identified by the reverse geocoder based at least in part on the search queries included in the search history, wherein the first grammar includes a vocabulary that is relevant to the geographic location that is identified based at least in part on the search queries included in the search history; wherein the interface is further programmed to output information that identifies the first grammar, wherein the outputted information causes a grammar used to analyze subsequently-received voice input from the one or more client computing devices to be changed to the first grammar. 13. The computer system of claim 9 , wherein the one or more client computing devices include a smartphone.
| 0.946766 |
8,433,998 | 2 | 5 |
2. The tool of claim 1 , wherein the tagging of information comprises tagging at least one of a comment, a question, a discussion, a text message, an instant message, a text file, an image file, a video file and a widget to the feature of said event map.
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2. The tool of claim 1 , wherein the tagging of information comprises tagging at least one of a comment, a question, a discussion, a text message, an instant message, a text file, an image file, a video file and a widget to the feature of said event map. 5. The tool of claim 2 , further comprising: a collecting unit for collecting the information which has been tagged to a feature of the event map and generating a tagged view including the collected information, wherein said display device displays said tagged view in a viewing panel of a graphical user interface (GUI).
| 0.5 |
9,250,711 | 9 | 14 |
9. A handheld electronic device comprising: an input apparatus; an output apparatus; and a processor apparatus comprising a processor and a memory, wherein the processor apparatus is structured to: detect an ambiguous character-string input that comprises a current character input and a previous character input; generate a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; output at least one of the character permutations other than the potential artificial variant; determine that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, output a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determine that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppress from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected.
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9. A handheld electronic device comprising: an input apparatus; an output apparatus; and a processor apparatus comprising a processor and a memory, wherein the processor apparatus is structured to: detect an ambiguous character-string input that comprises a current character input and a previous character input; generate a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; output at least one of the character permutations other than the potential artificial variant; determine that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, output a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determine that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppress from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected. 14. The device of claim 9 , wherein the processor is further structured to: make a second determination that at least a portion of the suppressed offspring artificial variant corresponds with an N-gram object associated with a frequency object having a frequency value above a predetermined threshold; and based on the second determination, output the suppressed offspring artificial variant.
| 0.524272 |
7,526,059 | 4 | 5 |
4. The device according to claim 1 , wherein the memory is a non-volatile memory.
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4. The device according to claim 1 , wherein the memory is a non-volatile memory. 5. The device according to claim 4 , wherein the non-volatile memory comprises a Flash memory.
| 0.5 |
9,195,753 | 14 | 19 |
14. A method comprising: creating, after determining a user, a personalized page for the user that includes a collection of elements and discussion forums associated with the collection of elements, wherein the creating includes: tracking user interaction with elements available to the user from a host of an electronic catalog; associating the collection of elements with: elements acquired by the user based in part on a determination that the user has acquired elements from the host, and elements viewed by the user; filtering the discussion forums associated with the collection of elements, wherein filtering the discussion forums includes: ranking the discussion forums based on recent activity in the discussion forums; selecting ranked discussion forums above a threshold rank; and filtering the ranked discussion forums to maintain a predetermined measure of diversity of discussion forums associated with the elements acquired by the user and discussion forums associated with the elements viewed by the user; and outputting at least the filtered discussion forums on the personalized page.
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14. A method comprising: creating, after determining a user, a personalized page for the user that includes a collection of elements and discussion forums associated with the collection of elements, wherein the creating includes: tracking user interaction with elements available to the user from a host of an electronic catalog; associating the collection of elements with: elements acquired by the user based in part on a determination that the user has acquired elements from the host, and elements viewed by the user; filtering the discussion forums associated with the collection of elements, wherein filtering the discussion forums includes: ranking the discussion forums based on recent activity in the discussion forums; selecting ranked discussion forums above a threshold rank; and filtering the ranked discussion forums to maintain a predetermined measure of diversity of discussion forums associated with the elements acquired by the user and discussion forums associated with the elements viewed by the user; and outputting at least the filtered discussion forums on the personalized page. 19. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, configure a computer to perform the method as recited in claim 14 .
| 0.789579 |
8,150,869 | 1 | 9 |
1. A method implemented in a device, the method comprising: in response to a Web page being browsed to or navigated to: identifying context information for a user of the device, the context information including information for at least one of the Web page browsed to or navigated to, previous Web pages accessed by the user, links selected by the user for Web page navigation, or a browsing pattern of the user; using the context information to identify a set of keywords based at least in part on a current Web page being displayed and one or more of the previous Web pages displayed for the user in a current Web browsing session, the context information being used to identify the set of keywords in response to a determination that the one or more previous Web pages are related to the current Web page being displayed; and using the set of keywords and at least one of previous searches by the user current popular searches by other users to identify a set of query terms; and displaying one or more query terms of the identified set of query terms as part of a user interface of the device; and displaying the current Web page concurrently with search results of a query based on the one or more query terms in the user interface of the device.
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1. A method implemented in a device, the method comprising: in response to a Web page being browsed to or navigated to: identifying context information for a user of the device, the context information including information for at least one of the Web page browsed to or navigated to, previous Web pages accessed by the user, links selected by the user for Web page navigation, or a browsing pattern of the user; using the context information to identify a set of keywords based at least in part on a current Web page being displayed and one or more of the previous Web pages displayed for the user in a current Web browsing session, the context information being used to identify the set of keywords in response to a determination that the one or more previous Web pages are related to the current Web page being displayed; and using the set of keywords and at least one of previous searches by the user current popular searches by other users to identify a set of query terms; and displaying one or more query terms of the identified set of query terms as part of a user interface of the device; and displaying the current Web page concurrently with search results of a query based on the one or more query terms in the user interface of the device. 9. A method as recited in claim 1 , the using the set of keywords to identify the set of query terms further comprising using an inference method to identify one or more query terms that are assumed to be desired by the user based on one or more other keywords entered by the user.
| 0.551118 |
8,375,008 | 39 | 47 |
39. A method of executing operations based on a computer readable medium having software code embodied therein for managing information, the software code comprising computer-executable instructions for: extracting data from at least two different data sources, wherein the extracted data include files having content portions and associated metadata portions; determining email files within the original data; extracting information from the email files using an email extraction engine; forwarding the information extracted from the email files to a de-duplication engine; separating the information extracted from the email files and other original data in content portions and metadata portions; storing unique content portions in a collective database; storing the metadata portions in the collective database including information linking the metadata portions to their associated content portions; from a user of the computer system, receiving at least one rule, including: a retention policy for the data; and a query for the data, wherein the query is other than a search for duplicate portions of the data; using the rule, identifying: compliant data that comply with the retention policy; and targeted data that correspond to the query; and using the rule, preserving the compliant data and the targeted data within the collective database, while deleting at least a portion of other data that are neither compliant data nor targeted data within the collective database.
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39. A method of executing operations based on a computer readable medium having software code embodied therein for managing information, the software code comprising computer-executable instructions for: extracting data from at least two different data sources, wherein the extracted data include files having content portions and associated metadata portions; determining email files within the original data; extracting information from the email files using an email extraction engine; forwarding the information extracted from the email files to a de-duplication engine; separating the information extracted from the email files and other original data in content portions and metadata portions; storing unique content portions in a collective database; storing the metadata portions in the collective database including information linking the metadata portions to their associated content portions; from a user of the computer system, receiving at least one rule, including: a retention policy for the data; and a query for the data, wherein the query is other than a search for duplicate portions of the data; using the rule, identifying: compliant data that comply with the retention policy; and targeted data that correspond to the query; and using the rule, preserving the compliant data and the targeted data within the collective database, while deleting at least a portion of other data that are neither compliant data nor targeted data within the collective database. 47. The method of claim 39 , wherein the query for the data includes a query of at least one of the following for the data: subject matter, author, type, and content.
| 0.737342 |
9,607,032 | 4 | 5 |
4. The method of claim 1 , wherein identifying a time-sensitive attribute for the entity based on the attribute text comprises determining that the time-sensitive attribute is included in a list of predetermined time-sensitive attributes.
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4. The method of claim 1 , wherein identifying a time-sensitive attribute for the entity based on the attribute text comprises determining that the time-sensitive attribute is included in a list of predetermined time-sensitive attributes. 5. The method of claim 4 , wherein the list of predetermined time-sensitive attributes comprises one or more of: a price; an age; an environmental condition; a person holding a title; or a time.
| 0.5 |
10,019,983 | 1 | 5 |
1. A method for predicting speech recognition performance in a speech recognition system, the system comprising a recognition engine, a database, a model learning module, and a performance prediction module, the method comprising the steps of: a. determining, by the performance prediction module, at least one feature vector for an input into the speech recognition system, wherein the at least one feature vector includes features that comprise at least two features selected from the group comprising: the number of phonemes, the number of syllables, and the number of stressed vowels; b. creating a prediction model by: i. selecting a set of keywords; ii. computing an other feature vector of desired features for each of the keywords; iii. inputting the other feature vector into the model learning module, wherein the model learning module adjusts parameters to minimize a cost function; and iv. saving the results from the model learning module as the prediction model for prediction of a figure of merit of the input; c. passing the at least one feature vector into the prediction model; d. applying, by the performance prediction module, the prediction model to predict a figure of merit for the speech recognition system, wherein the figure of merit is indicative of the accuracy of performance of the speech recognition system, wherein the figure of merit (fom) is predicted using a mathematical expression fom = ∑ i = 1 N a i ( x i - b i ) 2 N represents an upper limit on a number of features based on the determined feature vector used to learn the prediction, i represents the index of features, x i represents the i-th feature in the determined feature vector, and the equation parameters a and b are learned values; e. reporting, by the performance prediction module, the predicted figure of merit for the speech recognition system performance; and f. adjusting the recognition engine based on the predicted figure of merit.
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1. A method for predicting speech recognition performance in a speech recognition system, the system comprising a recognition engine, a database, a model learning module, and a performance prediction module, the method comprising the steps of: a. determining, by the performance prediction module, at least one feature vector for an input into the speech recognition system, wherein the at least one feature vector includes features that comprise at least two features selected from the group comprising: the number of phonemes, the number of syllables, and the number of stressed vowels; b. creating a prediction model by: i. selecting a set of keywords; ii. computing an other feature vector of desired features for each of the keywords; iii. inputting the other feature vector into the model learning module, wherein the model learning module adjusts parameters to minimize a cost function; and iv. saving the results from the model learning module as the prediction model for prediction of a figure of merit of the input; c. passing the at least one feature vector into the prediction model; d. applying, by the performance prediction module, the prediction model to predict a figure of merit for the speech recognition system, wherein the figure of merit is indicative of the accuracy of performance of the speech recognition system, wherein the figure of merit (fom) is predicted using a mathematical expression fom = ∑ i = 1 N a i ( x i - b i ) 2 N represents an upper limit on a number of features based on the determined feature vector used to learn the prediction, i represents the index of features, x i represents the i-th feature in the determined feature vector, and the equation parameters a and b are learned values; e. reporting, by the performance prediction module, the predicted figure of merit for the speech recognition system performance; and f. adjusting the recognition engine based on the predicted figure of merit. 5. The method of claim 1 , wherein the method is performed in real-time as additional input is provided.
| 0.760369 |
7,668,888 | 26 | 34 |
26. A computer program product stored on a computer readable medium, the computer program product providing at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the product comprising instructions configured to cause a processor to: extract the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; map the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and create the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine.
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26. A computer program product stored on a computer readable medium, the computer program product providing at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the product comprising instructions configured to cause a processor to: extract the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; map the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and create the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine. 34. The computer program product of claim 26 , wherein the instructions are configured further to cause the processor to store the readable object as a non-permanently stored readable object.
| 0.772076 |
5,491,760 | 8 | 12 |
8. A method of excerpting significant information from an undecoded document image without decoding the document image, comprising: segmenting the document image into word image units without decoding the document image; deriving a word shape representation for each of a plurality of said word image units without decoding any characters making up said plurality of word image units, thereby deriving a plurality of said word shape representations; comparing said word shape representations to at least one other word shape representation to identify significant word image units from amongst said word image units; and outputting a plurality of said identified significant word image units for further processing.
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8. A method of excerpting significant information from an undecoded document image without decoding the document image, comprising: segmenting the document image into word image units without decoding the document image; deriving a word shape representation for each of a plurality of said word image units without decoding any characters making up said plurality of word image units, thereby deriving a plurality of said word shape representations; comparing said word shape representations to at least one other word shape representation to identify significant word image units from amongst said word image units; and outputting a plurality of said identified significant word image units for further processing. 12. The method of claim 8 wherein said step of outputting said a plurality of identified significant word image units comprises generating a document summary from said identified significant word image units.
| 0.522936 |
8,762,969 | 16 | 17 |
16. The method of claim 10 further comprising producing multiple versions of the parse tree that share common, unchanged nodes.
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16. The method of claim 10 further comprising producing multiple versions of the parse tree that share common, unchanged nodes. 17. The method of claim 16 further comprising: detecting a change in the input stream; reparsing the input stream to produce a new immutable token stream that shares tokens common to a previous stream; and producing a new immutable parse tree that shares nodes with a previous tree.
| 0.5 |
5,406,626 | 1 | 19 |
1. A receiver system comprising: a radio tuner for demodulating data from a radio signal; a memory for storing the demodulated data as a database; a user interface for providing a set of hierarchical menus describing the database, and for accepting selections from the set of menus; a controller for selecting data from the database in response to the accepted selections and outputting the selected data in an alphanumeric form; and a speech synthesizer for converting the selected data from alphanumeric form to an analog audio signal representing spoken words.
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1. A receiver system comprising: a radio tuner for demodulating data from a radio signal; a memory for storing the demodulated data as a database; a user interface for providing a set of hierarchical menus describing the database, and for accepting selections from the set of menus; a controller for selecting data from the database in response to the accepted selections and outputting the selected data in an alphanumeric form; and a speech synthesizer for converting the selected data from alphanumeric form to an analog audio signal representing spoken words. 19. The device of claim 1, further comprising means for designating by a user a hierarchy for the database.
| 0.731156 |
8,379,801 | 1 | 7 |
1. A method of providing error correction in a text caption, the method comprising: displaying a text caption on at least one electronic device, the text caption including one or more blocks of text representing a text transcription of a voice signal; replacing a first block of text of the text caption with another block of text during a real-time conversation from which the voice signal is generated; and displaying another block of text within the text caption on the at least one electronic device at a location of the first block of text within the text caption.
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1. A method of providing error correction in a text caption, the method comprising: displaying a text caption on at least one electronic device, the text caption including one or more blocks of text representing a text transcription of a voice signal; replacing a first block of text of the text caption with another block of text during a real-time conversation from which the voice signal is generated; and displaying another block of text within the text caption on the at least one electronic device at a location of the first block of text within the text caption. 7. The method of claim 1 , wherein the first block of text of the text caption includes one or more errors, and wherein the another block of text includes corrected words.
| 0.618304 |
8,438,648 | 16 | 20 |
16. The apparatus of claim 15 , wherein the memory further stores computer-readable instructions that, when executed by the one or more processors, cause the apparatus to: embed a second watermark in the font file at least by inserting one or more data tables into one or more data structures of the font file, wherein the one or more data tables include a customer identifier.
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16. The apparatus of claim 15 , wherein the memory further stores computer-readable instructions that, when executed by the one or more processors, cause the apparatus to: embed a second watermark in the font file at least by inserting one or more data tables into one or more data structures of the font file, wherein the one or more data tables include a customer identifier. 20. The apparatus of claim 16 , wherein the memory further stores computer-readable instructions that, when executed by the one or more processors, cause the apparatus to: search a network for at least one website; and determine, based on the first watermark and the second watermark, whether the at least one website improperly links to the font file.
| 0.5 |
8,738,673 | 6 | 7 |
6. The method of claim 5 , further comprising: including in the virtual-index-epoch map rows based on the assigned-doc-ID for the document that triggered maintenance of the virtual-index-epoch map and columns based on a number of physical partitions deemed to be sufficient to meet the performance criteria.
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6. The method of claim 5 , further comprising: including in the virtual-index-epoch map rows based on the assigned-doc-ID for the document that triggered maintenance of the virtual-index-epoch map and columns based on a number of physical partitions deemed to be sufficient to meet the performance criteria. 7. The method of claim 6 , further comprising: optimizing a total number of the physical partitions by reusing at least some of the physical partitions.
| 0.5 |
8,122,026 | 15 | 24 |
15. A computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions to: identify a first set of documents based on a first model and a first set of features, wherein the first model includes a first set of rules specifying at least one combination of features from the first set of features that are sufficient for identifying a document referring to an entity, each document of the first set of documents comprising a sufficient number of features in common with the first set of features to identify a document referring to the entity according to the first model; determine a second model based on the features of the first set of documents, wherein the second model includes a second set of rules specifying at least one combination of features from the first set of documents that are sufficient for identifying a document referring to the entity; identify a second set of documents based on the second model and the first set of features, each document of the second set of documents comprising a sufficient number of features in common with the first set of features to identify a document referring to the entity according to the second model; identify a second set of features based on the second set of documents; determine if the second set of features are associated with the entity; and responsive to determining that the second set of features are associated with the entity, identifying a third set of documents based on a third model and the second set of features, each of the third set of documents comprising a sufficient number of features in common with the second set of features to identify a document referring to the entity according to the third model.
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15. A computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions to: identify a first set of documents based on a first model and a first set of features, wherein the first model includes a first set of rules specifying at least one combination of features from the first set of features that are sufficient for identifying a document referring to an entity, each document of the first set of documents comprising a sufficient number of features in common with the first set of features to identify a document referring to the entity according to the first model; determine a second model based on the features of the first set of documents, wherein the second model includes a second set of rules specifying at least one combination of features from the first set of documents that are sufficient for identifying a document referring to the entity; identify a second set of documents based on the second model and the first set of features, each document of the second set of documents comprising a sufficient number of features in common with the first set of features to identify a document referring to the entity according to the second model; identify a second set of features based on the second set of documents; determine if the second set of features are associated with the entity; and responsive to determining that the second set of features are associated with the entity, identifying a third set of documents based on a third model and the second set of features, each of the third set of documents comprising a sufficient number of features in common with the second set of features to identify a document referring to the entity according to the third model. 24. The computer readable storage medium of claim 15 , further comprising instructions to: estimate importance of the entity based on an estimated importance of at least one of the documents in the second set of documents.
| 0.611888 |
9,389,922 | 1 | 2 |
1. A method, in a distributed service-oriented data processing system, for declarative service domain federation, the method comprising: receiving, in a planning engine executing on a processor of a federation server within the distributed service-oriented data processing system, a federation intent declaration comprising a federation rule, a quality-of-service policy, and a service group definition, wherein the federation intent declaration is specified using a federation console, wherein the federation rule specifies a verb, a subject, an object, and an adverb, wherein the verb specifies an action, wherein the subject specifies a set of services, wherein the object specifies a set of service domains, and wherein the adverb specifies how the declarative service domain federation is to be carried out, and wherein the quality-of-service policy describes quality-of-services capabilities by specifying service performance measurements collected by a runtime service monitoring engine and populated in a service registry of at least one service domain, wherein the quality-of-service policy describes quality-of-service requirements that specify a set of service level assurance or optimization objectives, and wherein the quality-of-service policy is stored in a Web services performance language that is compatible with an existing Web services policy framework; automatically identifying, by the planning engine, the set of services based on the service group definition, wherein the service group definition specifies a service group by at least one of explicit enumeration, a query against a set of service properties, or a union or intersection of a plurality of other service groups; automatically generating, by the planning engine, a service visibility configuration and one or more service proxies based on the federation rule and the quality-of-service policy, wherein the visibility configuration enables service consumers to interact with service providers residing in different service domains and wherein the one or more service proxies enable a service consumer in a first service domain within a plurality of service domains to access a service in a second service domain within the plurality of service domains; automatically deploying, by the planning engine, the visibility configuration to the plurality of service domains comprising the identified set of services by generating entries in the service registries of the plurality of service domains, wherein identifying the set of services comprises querying the service registries of the plurality of service domains based on the service group definition; automatically deploying, by the planning engine, the one or more service proxies to execute within connectivity middleware executing on at least one processor of the plurality of service domains within the distributed service-oriented data processing system; collecting, by the runtime service monitoring engine, performance metrics of the identified set of services; and dynamically adjusting the one or more service proxies to maintain the quality-of-service requirements specified in the quality-of-service policy based on the collected performance metrics.
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1. A method, in a distributed service-oriented data processing system, for declarative service domain federation, the method comprising: receiving, in a planning engine executing on a processor of a federation server within the distributed service-oriented data processing system, a federation intent declaration comprising a federation rule, a quality-of-service policy, and a service group definition, wherein the federation intent declaration is specified using a federation console, wherein the federation rule specifies a verb, a subject, an object, and an adverb, wherein the verb specifies an action, wherein the subject specifies a set of services, wherein the object specifies a set of service domains, and wherein the adverb specifies how the declarative service domain federation is to be carried out, and wherein the quality-of-service policy describes quality-of-services capabilities by specifying service performance measurements collected by a runtime service monitoring engine and populated in a service registry of at least one service domain, wherein the quality-of-service policy describes quality-of-service requirements that specify a set of service level assurance or optimization objectives, and wherein the quality-of-service policy is stored in a Web services performance language that is compatible with an existing Web services policy framework; automatically identifying, by the planning engine, the set of services based on the service group definition, wherein the service group definition specifies a service group by at least one of explicit enumeration, a query against a set of service properties, or a union or intersection of a plurality of other service groups; automatically generating, by the planning engine, a service visibility configuration and one or more service proxies based on the federation rule and the quality-of-service policy, wherein the visibility configuration enables service consumers to interact with service providers residing in different service domains and wherein the one or more service proxies enable a service consumer in a first service domain within a plurality of service domains to access a service in a second service domain within the plurality of service domains; automatically deploying, by the planning engine, the visibility configuration to the plurality of service domains comprising the identified set of services by generating entries in the service registries of the plurality of service domains, wherein identifying the set of services comprises querying the service registries of the plurality of service domains based on the service group definition; automatically deploying, by the planning engine, the one or more service proxies to execute within connectivity middleware executing on at least one processor of the plurality of service domains within the distributed service-oriented data processing system; collecting, by the runtime service monitoring engine, performance metrics of the identified set of services; and dynamically adjusting the one or more service proxies to maintain the quality-of-service requirements specified in the quality-of-service policy based on the collected performance metrics. 2. The method of claim 1 , wherein the service group definition is stored in a service group description language.
| 0.656627 |
8,572,218 | 17 | 18 |
17. A server for transport data compression between the server and a client, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: generate a first compression dictionary for compressing a first chunk of data; compress the first chunk of data using the first compression dictionary to form a first compressed chunk of data; transmit the first compressed chunk of data and the first compression dictionary to the client, wherein the client decompresses the first compressed chunk of data using the first dictionary; generate a second compression dictionary for compressing a second chunk of data; compress the second chunk of data using the second compress or dictionary to form a second compressed chunk of data; generate a dictionary patch based on the first compression dictionary and the second compression dictionary; and transmit the second compressed chunk of data and the dictionary patch to client, wherein the client updates the first compression dictionary using the dictionary patch to form the second compression dictionary and decompresses the second compressed chunk of data using the second compression dictionary.
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17. A server for transport data compression between the server and a client, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: generate a first compression dictionary for compressing a first chunk of data; compress the first chunk of data using the first compression dictionary to form a first compressed chunk of data; transmit the first compressed chunk of data and the first compression dictionary to the client, wherein the client decompresses the first compressed chunk of data using the first dictionary; generate a second compression dictionary for compressing a second chunk of data; compress the second chunk of data using the second compress or dictionary to form a second compressed chunk of data; generate a dictionary patch based on the first compression dictionary and the second compression dictionary; and transmit the second compressed chunk of data and the dictionary patch to client, wherein the client updates the first compression dictionary using the dictionary patch to form the second compression dictionary and decompresses the second compressed chunk of data using the second compression dictionary. 18. The server of claim 17 , wherein the dictionary patch includes updates to the first compression dictionary.
| 0.773469 |
9,503,686 | 1 | 21 |
1. A system for providing a discussion topic reviewing tool, the system comprising: a video conferencing apparatus including a processor, a memory, a first display in communication with the processor, a video camera in communication with the processor, a speaker in communication with the processor, and a microphone in communication with the processor; and a video conferencing module stored in the memory, comprising executable instructions that when executed by the processor cause the processor to: initiate presentation on the first display a review bucket configured to receive from a customer a plurality of discussion topics for use in a video conference communication session between the customer and a business agent that represents a particular entity; receive from the customer, within the review bucket, an identifier associated with a first discussion topic that the customer is interested in discussing during the video conference communication session; initiate transmission of the first discussion topic to the business agent via an agent-implemented apparatus, the agent-implemented apparatus comprising a second display; initiate a video conference communication session between the customer and the business agent to discuss the first discussion topic transmitted to the business agent; present the review bucket on the first display, wherein the review bucket is configured to be dynamically positioned about the first display in one or more non-fixed orientations by the customer, wherein the review bucket is configured to allow both the customer and the business agent to view, edit, reorder and remove discussion topics within the review bucket in real time; present a replication of the review bucket on the second display; receive from the customer during the video conference communication session, within the review bucket, one or more identifiers associated with one or more second discussion topics from the plurality of discussion topics; and place the one or more identifiers associated with the one or more second discussion topics in a video conference communication queue based on at least an order in which the one or more second discussion topics are received, wherein the order is determined by the customer.
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1. A system for providing a discussion topic reviewing tool, the system comprising: a video conferencing apparatus including a processor, a memory, a first display in communication with the processor, a video camera in communication with the processor, a speaker in communication with the processor, and a microphone in communication with the processor; and a video conferencing module stored in the memory, comprising executable instructions that when executed by the processor cause the processor to: initiate presentation on the first display a review bucket configured to receive from a customer a plurality of discussion topics for use in a video conference communication session between the customer and a business agent that represents a particular entity; receive from the customer, within the review bucket, an identifier associated with a first discussion topic that the customer is interested in discussing during the video conference communication session; initiate transmission of the first discussion topic to the business agent via an agent-implemented apparatus, the agent-implemented apparatus comprising a second display; initiate a video conference communication session between the customer and the business agent to discuss the first discussion topic transmitted to the business agent; present the review bucket on the first display, wherein the review bucket is configured to be dynamically positioned about the first display in one or more non-fixed orientations by the customer, wherein the review bucket is configured to allow both the customer and the business agent to view, edit, reorder and remove discussion topics within the review bucket in real time; present a replication of the review bucket on the second display; receive from the customer during the video conference communication session, within the review bucket, one or more identifiers associated with one or more second discussion topics from the plurality of discussion topics; and place the one or more identifiers associated with the one or more second discussion topics in a video conference communication queue based on at least an order in which the one or more second discussion topics are received, wherein the order is determined by the customer. 21. The system of claim 1 , wherein the executable instructions when executed further cause the processor to determine a level of transparency for the review bucket based on the position of the review bucket by: determining that the review bucket is obstructing information presented on the display; automatically increasing the level of transparency for the review bucket to allow the customer to view the information; determining that the review bucket is no longer obstructing the information; and automatically decreasing the level of transparency of the review bucket.
| 0.637342 |
8,855,429 | 1 | 7 |
1. A method for recognizing a character in a portable device, the method comprising: obtaining, in accordance with a character recognition request, an image using a camera of the portable device in a preview mode in which a plurality of images are being sequentially displayed in real time on a display of the portable device; performing an auto focus function of the camera to obtain an image having a certain level of clarity for character recognition using the camera; character-recognition-processing the image having the certain level of clarity so as to generate recognition result data; and displaying a recognized character row on the display based on the recognition result data.
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1. A method for recognizing a character in a portable device, the method comprising: obtaining, in accordance with a character recognition request, an image using a camera of the portable device in a preview mode in which a plurality of images are being sequentially displayed in real time on a display of the portable device; performing an auto focus function of the camera to obtain an image having a certain level of clarity for character recognition using the camera; character-recognition-processing the image having the certain level of clarity so as to generate recognition result data; and displaying a recognized character row on the display based on the recognition result data. 7. The method as claimed in claim 1 , further comprising: combining one or more characters identified through the character-recognition-processing of the image obtained in the preview mode and having a predetermined maximum number of characters as a first word; searching a dictionary database that stores dictionary information on various languages using the first word; and outputting a word corresponding to the first word in at least one of the various languages according to a result of the search of the dictionary database using the first word.
| 0.5 |
7,533,069 | 11 | 19 |
11. A data processing system for mining data from a variety of sources for storing in a structured target data model, the system comprising: a processor; an outer parser running in said processor, wherein said outer parser parses a source format of a first source data received by said processor; an inner level parser embedded in said outer parser for parsing said first data source based on said parsed source format; an ontology description language in which the structured target data model is specified and which is also utilized by said inner level parser, wherein said inner level parser executes one or more statements in an order dictated by a content of said first source data, wherein said one or more statements are expressed in said ontology description language and access one or more data types and one or more data fields that are directly manipulated and assigned within said inner level parser using said ontology description language without explicit declarations therein; and a memory for storing a first collection of records created by said outer parser and said inner level parser, wherein said first collection of records conform to the structured target data model, and each of said records in said first collection of records are referenced and cross-referenced to each other, wherein said first collection of records are retrieved from the memory for further processing by the data processing system.
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11. A data processing system for mining data from a variety of sources for storing in a structured target data model, the system comprising: a processor; an outer parser running in said processor, wherein said outer parser parses a source format of a first source data received by said processor; an inner level parser embedded in said outer parser for parsing said first data source based on said parsed source format; an ontology description language in which the structured target data model is specified and which is also utilized by said inner level parser, wherein said inner level parser executes one or more statements in an order dictated by a content of said first source data, wherein said one or more statements are expressed in said ontology description language and access one or more data types and one or more data fields that are directly manipulated and assigned within said inner level parser using said ontology description language without explicit declarations therein; and a memory for storing a first collection of records created by said outer parser and said inner level parser, wherein said first collection of records conform to the structured target data model, and each of said records in said first collection of records are referenced and cross-referenced to each other, wherein said first collection of records are retrieved from the memory for further processing by the data processing system. 19. The system according to claim 11 further comprising: a set of assignable and readable registers logically associated with each instance of said inner level parser and said outer parser, wherein said registers are used to store any data assigned to them or to store a current state of said outer parser and said inner level parser, and which may be accessed and manipulated by said one or more statements executed by said inner level parser.
| 0.5 |
9,110,971 | 8 | 9 |
8. The computer-based system of claim 1 , wherein the re-ranking module configured based on a previously executed learning process involves automatically generated training data processed to establish a relevance weighting to be assigned to respective ones of the set of patent features.
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8. The computer-based system of claim 1 , wherein the re-ranking module configured based on a previously executed learning process involves automatically generated training data processed to establish a relevance weighting to be assigned to respective ones of the set of patent features. 9. The computer-based system of claim 8 , wherein the learning module collects training data and assigning a relevance weighting to the set of patent features based at least in part on the collected training data.
| 0.5 |
8,237,719 | 1 | 12 |
1. A method of generating animation data for at least one rendered image of a computer graphics scene, the method comprising: receiving animation data defining at least a portion of a first pose of an object at a first shot time; identifying a previously defined first hold animation structure including the first shot time, wherein the first hold animation structure defines at least a second pose of the object from a second shot time prior to the first shot time up to a third shot time following the first shot time; replacing the first hold animation structure with a second hold animation structure defined as beginning at the second shot time and ending before the first shot time and a third hold animation structure defined from after the second hold animation structure up to the third shot time; associating the second pose of the object with the second hold animation structure, such that the object is posed according to at least the second pose during at least a portion of the second hold animation structure; associating the first pose of the object with the third hold animation structure, such that the object is posed according to at least the first pose during at least a portion of the third hold animation structure; and rendering at least one image of the computer graphics scene including at least a portion of the object in the first pose during the third hold animation structure.
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1. A method of generating animation data for at least one rendered image of a computer graphics scene, the method comprising: receiving animation data defining at least a portion of a first pose of an object at a first shot time; identifying a previously defined first hold animation structure including the first shot time, wherein the first hold animation structure defines at least a second pose of the object from a second shot time prior to the first shot time up to a third shot time following the first shot time; replacing the first hold animation structure with a second hold animation structure defined as beginning at the second shot time and ending before the first shot time and a third hold animation structure defined from after the second hold animation structure up to the third shot time; associating the second pose of the object with the second hold animation structure, such that the object is posed according to at least the second pose during at least a portion of the second hold animation structure; associating the first pose of the object with the third hold animation structure, such that the object is posed according to at least the first pose during at least a portion of the third hold animation structure; and rendering at least one image of the computer graphics scene including at least a portion of the object in the first pose during the third hold animation structure. 12. The method of claim 1 , wherein replacing the first hold animation structure with the second hold animation structure and the third hold animation structure comprises: subdividing the first hold animation structure to create at least the second hold animation structure and the third hold animation structure.
| 0.805348 |
9,940,381 | 1 | 9 |
1. A method, comprising: obtaining a collection of clusters of immutable observations about entities, at least a plurality of the clusters each: corresponding to a respective entity, identifying immutable observations determined to describe the respective entity, and having summary attribute-value pairs that summarize the identified observations and collectively describe an inferred current state of the respective entity; receiving a new observation about a given entity; selecting, with one or more processors, a cluster among the collection of clusters based on correspondence of the selected cluster to the given entity; summarizing, with one or more processors, the selected cluster by updating at least some of the summary attribute-value pairs of the selected cluster based on both the new observation and the observations identified by the selected cluster; storing the updated attribute-value pairs in memory in association with the selected cluster; and updating a user interface at a user device using the new observation.
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1. A method, comprising: obtaining a collection of clusters of immutable observations about entities, at least a plurality of the clusters each: corresponding to a respective entity, identifying immutable observations determined to describe the respective entity, and having summary attribute-value pairs that summarize the identified observations and collectively describe an inferred current state of the respective entity; receiving a new observation about a given entity; selecting, with one or more processors, a cluster among the collection of clusters based on correspondence of the selected cluster to the given entity; summarizing, with one or more processors, the selected cluster by updating at least some of the summary attribute-value pairs of the selected cluster based on both the new observation and the observations identified by the selected cluster; storing the updated attribute-value pairs in memory in association with the selected cluster; and updating a user interface at a user device using the new observation. 9. The method of claim 1 , wherein summarizing the selected cluster by updating at least some of the summary attribute-value pairs of the selected cluster comprises: determining that a state of the given entity has changed; and in response to the determination, updating a summary attribute-value pair of the cluster corresponding to the given entity based on a value conveyed by the new observation.
| 0.836066 |
9,706,040 | 7 | 8 |
7. The method as recited in claim 1 , further comprising the step of replaying said text message, said selected avatar, said selected avatar state of mind, said selected avatar state of mind intensity level, and said indication for receiver interaction.
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7. The method as recited in claim 1 , further comprising the step of replaying said text message, said selected avatar, said selected avatar state of mind, said selected avatar state of mind intensity level, and said indication for receiver interaction. 8. The method as recited in claim 7 , further comprising the step of communicating said replayed text message, said selected avatar, said selected avatar state of mind, said selected avatar state of mind intensity level, and said indication for receiver interaction, to another receiver for viewing, wherein said selected avatar is displayed at certain portions said text message.
| 0.5 |
7,873,508 | 3 | 9 |
3. The communication support apparatus according to claim 1 , wherein the instructions further programmatically define: a source language analyzer that analyzes a meaning of the first source language sentence to output at least one first analysis result candidate, and analyzes a meaning of the second source language sentence to output at least one second analysis result candidate, wherein when the determining unit determines that the second source language sentence is similar to the first source language sentence, the language converter selects one of the at least one first analysis result candidate, selects one of the at least second analysis result candidate different from the one of the at least one first analysis result candidate, translates the first source language sentence into the first translation sentence based on the first analysis result candidate selected, and translates the second source language sentence into the second translation sentence based on the second analysis result candidate selected.
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3. The communication support apparatus according to claim 1 , wherein the instructions further programmatically define: a source language analyzer that analyzes a meaning of the first source language sentence to output at least one first analysis result candidate, and analyzes a meaning of the second source language sentence to output at least one second analysis result candidate, wherein when the determining unit determines that the second source language sentence is similar to the first source language sentence, the language converter selects one of the at least one first analysis result candidate, selects one of the at least second analysis result candidate different from the one of the at least one first analysis result candidate, translates the first source language sentence into the first translation sentence based on the first analysis result candidate selected, and translates the second source language sentence into the second translation sentence based on the second analysis result candidate selected. 9. The communication support apparatus according to claim 3 , wherein the source language analyzer analyzes a communicative intention of the first source language sentence to output at least one first communicative intention analysis result candidate as the at least one first analysis result candidate, and analyzes a communicative intention of the second source language sentence to output at least one second communicative intention analysis result candidate as the at least one second analysis result candidate, when the determining unit determines that the second source language sentence is similar to the first source language sentence, the language converter selects one of the at least one first communicative intention analysis result candidate, selects one of the at least second communicative intention analysis result candidate different from the one of the at least one first communicative intention analysis result candidate, translates the first source language sentence into the first translation sentence based on the first communicative intention analysis result candidate selected, and translates the second source language sentence into the second translation sentence based on the second communicative intention analysis result candidate selected.
| 0.5 |
9,171,272 | 17 | 20 |
17. A computer-implemented system comprising at least a processing unit and a system memory storing executable instructions, wherein the system is configured to provide automated generation of applications to evaluate data feeds, wherein the system further comprises: a data feed behavior manager that provides a first plurality of applications associated with a first data feed, wherein the first data feed is applicable to a second data feed according to an applicability criterion; an autogenerator engine that extracts expressions automatically from the first plurality of applications associated with the first data feed based on the applicability criterion relative to the second data feed, wherein the autogenerator engine generates one or more new applications to evaluate data from the second data feed, wherein the generated one or more new applications are automatically generated, without user interaction, based on the extracted expressions; and a feedback manager that receives a plurality of instances of feedback for the individual ones of the generated one or more new applications from a portion of users who used the one or more of the generated new applications in association with the second data feed, each instance of feedback indicating which of the generated one or more new applications met one or more interests of a user in association with the second data feed, and adjusts availability of the individual ones of the generated one or more new applications based on the plurality of instances of feedback.
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17. A computer-implemented system comprising at least a processing unit and a system memory storing executable instructions, wherein the system is configured to provide automated generation of applications to evaluate data feeds, wherein the system further comprises: a data feed behavior manager that provides a first plurality of applications associated with a first data feed, wherein the first data feed is applicable to a second data feed according to an applicability criterion; an autogenerator engine that extracts expressions automatically from the first plurality of applications associated with the first data feed based on the applicability criterion relative to the second data feed, wherein the autogenerator engine generates one or more new applications to evaluate data from the second data feed, wherein the generated one or more new applications are automatically generated, without user interaction, based on the extracted expressions; and a feedback manager that receives a plurality of instances of feedback for the individual ones of the generated one or more new applications from a portion of users who used the one or more of the generated new applications in association with the second data feed, each instance of feedback indicating which of the generated one or more new applications met one or more interests of a user in association with the second data feed, and adjusts availability of the individual ones of the generated one or more new applications based on the plurality of instances of feedback. 20. The system of claim 17 wherein the extracted expressions are identified based on their specification of at least one of a visual entity or a business logic entity from the first plurality of applications.
| 0.5 |
7,996,356 | 2 | 3 |
2. The machine-readable media according to claim 1 , the data being interoperable with a machine to further cause: after presenting the human user with text snippets and their associated different labels, in response to the human user's selection of the revise option, further encoding further encoded rules in the rule base, the further encoded rules including one or both of modified versions of the rules and added rules.
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2. The machine-readable media according to claim 1 , the data being interoperable with a machine to further cause: after presenting the human user with text snippets and their associated different labels, in response to the human user's selection of the revise option, further encoding further encoded rules in the rule base, the further encoded rules including one or both of modified versions of the rules and added rules. 3. The machine-readable media according to claim 2 , the data being interoperable with a machine to further cause: the encoding and the further encoding being in response to rule information input by the human user via the computer screen displayed subject matter expert interface.
| 0.5 |
7,644,371 | 1 | 2 |
1. A system to facilitate specification of queries or commands, comprising: a user input module that receives a user input; a graphical user interface responsive to the user input, the graphical user interface including a taxonomically organized visualization of a plurality of dimensions that form at least a subset of a taxonomy for an associated information space, the dimensions including headings derived from metadata for data items in the information space; a filter generator that generates a filter based on metadata associated with each heading selected in the visualization; and a results component that presents results items that substantially satisfy the filter.
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1. A system to facilitate specification of queries or commands, comprising: a user input module that receives a user input; a graphical user interface responsive to the user input, the graphical user interface including a taxonomically organized visualization of a plurality of dimensions that form at least a subset of a taxonomy for an associated information space, the dimensions including headings derived from metadata for data items in the information space; a filter generator that generates a filter based on metadata associated with each heading selected in the visualization; and a results component that presents results items that substantially satisfy the filter. 2. The system of claim 1 , at least some of the headings including subheadings arranged according to the information taxonomy to represent hierarchal relationships between at least some of the headings and associated subheadings.
| 0.614478 |
10,002,450 | 1 | 9 |
1. A hardware device for analyzing a document including a text-based visual representation, comprising: a correspondence information hardware storage device, wherein the correspondence information hardware storage device holds known representations of graphical images as text-based visual representations, wherein the graphical images depict portraits of physical objects, wherein the physical objects include one or more faces, and wherein the text-based visual representations are associated with information that each describe one of the physical objects, wherein each text-based visual representation includes one or more respective arrays of characters and symbols arranged to visually depict the physical object, a respective meaning of each of the characters and symbols in the one or more arrays being unrelated to the physical object; an identification hardware device for identifying a text-based visual representation within a document, the text-based visual representation including one or more facial expressions, wherein the identification hardware device matches the text-based visual representation within the document to one or more of the text-based visual representations stored in the correspondence information hardware storage device by determining a respective edit distance between the text-based visual representation within the document and each of the one or more text-based visual representations stored in the correspondence information hardware storage and comparing each respective edit distance to a threshold, wherein each respective edit distance is the minimum number of operations to transform the text-based visual representation within the document to the respective text-based visual representation in the correspondence information hardware storage device, and wherein a Levenshtein Distance method is used to calculate the minimum number of operations; and an editing hardware device, wherein the editing hardware device retrieves information from the correspondence information hardware storage device that is identified, by the identification hardware device, as describing a text-based visual representation component within the document, and wherein the editing hardware device adds the retrieved information to the document, and adds the retrieved information to the document as meta-information, wherein the meta-information includes an object type, a name for the physical object, an emotion, and a facial expression, and displays the text-based visual representation component within the document and information that describes the text-based visual representation on a display.
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1. A hardware device for analyzing a document including a text-based visual representation, comprising: a correspondence information hardware storage device, wherein the correspondence information hardware storage device holds known representations of graphical images as text-based visual representations, wherein the graphical images depict portraits of physical objects, wherein the physical objects include one or more faces, and wherein the text-based visual representations are associated with information that each describe one of the physical objects, wherein each text-based visual representation includes one or more respective arrays of characters and symbols arranged to visually depict the physical object, a respective meaning of each of the characters and symbols in the one or more arrays being unrelated to the physical object; an identification hardware device for identifying a text-based visual representation within a document, the text-based visual representation including one or more facial expressions, wherein the identification hardware device matches the text-based visual representation within the document to one or more of the text-based visual representations stored in the correspondence information hardware storage device by determining a respective edit distance between the text-based visual representation within the document and each of the one or more text-based visual representations stored in the correspondence information hardware storage and comparing each respective edit distance to a threshold, wherein each respective edit distance is the minimum number of operations to transform the text-based visual representation within the document to the respective text-based visual representation in the correspondence information hardware storage device, and wherein a Levenshtein Distance method is used to calculate the minimum number of operations; and an editing hardware device, wherein the editing hardware device retrieves information from the correspondence information hardware storage device that is identified, by the identification hardware device, as describing a text-based visual representation component within the document, and wherein the editing hardware device adds the retrieved information to the document, and adds the retrieved information to the document as meta-information, wherein the meta-information includes an object type, a name for the physical object, an emotion, and a facial expression, and displays the text-based visual representation component within the document and information that describes the text-based visual representation on a display. 9. The hardware device according to claim 1 , wherein the graphical image includes an ASCII representation of an image.
| 0.918493 |
5,404,531 | 1 | 3 |
1. In a method of compiler processing executed by a computer, including the steps of analyzing syntax of a source program and translating the source program into an intermediate code and performing a code movement, in which the source program includes macro portions in a source code, each macro portion being a source code statement which, when compiled, corresponds to a plurality of machine code instructions, the macro portions corresponding to a plurality of operation details, an improvement comprising: generating intermediate code to represent the source program both by an array structure and a linked list structure pointing thereto, by: in the step of analyzing syntax of the source program, simplifying code movement by expressing the macro portions of the source program as a list structure including list elements respectively representing the macro portion, said list elements having fields corresponding to respective operations of the respective macro portions, the list elements including an E element and a T element, the E element representing execution of a calculation operation, the T element representing a data transfer operation, the E element having sub structures including an LO element and an NL element, the LO element representing a loop operation, the NL node representing a non-loop operation, the T element having sub structures including an S element and an R element, the S element representing sending of data, the R element representing receiving of data; and further comprising the steps of: expressing a description of the plurality of operation details of the macro portions as an array including a plurality of array portions; designating the array portions corresponding to the operation details of respective ones of the macro portions by pointers provided in the fields of list elements representing the respective macro portions in the list structure; searching and moving elements of a syntax analysis structure, in which an E element precedes a T element in a sequence, to an opposite sequence in which a data transfer element precedes the E element; in cases where a source operand of an assignment instruction in an array portion designated by a field of the S element, which is a sub structure of the T element, is a destination operand of a store instruction in an array portion designated by a pointer of a field of the LO element which is a sub structure of the E element preceding the T element, and is not contained in a destination operand of a store instruction in an array portion designated by a field of the NL element following the LO element, and where an execution range of the LO element is equal to an execution range of the T element: changing the store instruction in the array portion designated by the field of the LO element into a signal-added store instruction for generating a transfer signal for instructing data transfer upon execution thereof, changing the T element into a TS element for performing data transfer in synchronism with generation of the transfer signal, where a TS element represents a signal-added data transfer, and moving the TS element to a position prior to the E element.
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1. In a method of compiler processing executed by a computer, including the steps of analyzing syntax of a source program and translating the source program into an intermediate code and performing a code movement, in which the source program includes macro portions in a source code, each macro portion being a source code statement which, when compiled, corresponds to a plurality of machine code instructions, the macro portions corresponding to a plurality of operation details, an improvement comprising: generating intermediate code to represent the source program both by an array structure and a linked list structure pointing thereto, by: in the step of analyzing syntax of the source program, simplifying code movement by expressing the macro portions of the source program as a list structure including list elements respectively representing the macro portion, said list elements having fields corresponding to respective operations of the respective macro portions, the list elements including an E element and a T element, the E element representing execution of a calculation operation, the T element representing a data transfer operation, the E element having sub structures including an LO element and an NL element, the LO element representing a loop operation, the NL node representing a non-loop operation, the T element having sub structures including an S element and an R element, the S element representing sending of data, the R element representing receiving of data; and further comprising the steps of: expressing a description of the plurality of operation details of the macro portions as an array including a plurality of array portions; designating the array portions corresponding to the operation details of respective ones of the macro portions by pointers provided in the fields of list elements representing the respective macro portions in the list structure; searching and moving elements of a syntax analysis structure, in which an E element precedes a T element in a sequence, to an opposite sequence in which a data transfer element precedes the E element; in cases where a source operand of an assignment instruction in an array portion designated by a field of the S element, which is a sub structure of the T element, is a destination operand of a store instruction in an array portion designated by a pointer of a field of the LO element which is a sub structure of the E element preceding the T element, and is not contained in a destination operand of a store instruction in an array portion designated by a field of the NL element following the LO element, and where an execution range of the LO element is equal to an execution range of the T element: changing the store instruction in the array portion designated by the field of the LO element into a signal-added store instruction for generating a transfer signal for instructing data transfer upon execution thereof, changing the T element into a TS element for performing data transfer in synchronism with generation of the transfer signal, where a TS element represents a signal-added data transfer, and moving the TS element to a position prior to the E element. 3. The method of claim 1, wherein said steps of simplifying code movement by expressing the macro portions of the source program as a list structure comprises providing a plurality of list elements each corresponding to a macro operation and providing a pair of pointers in each list element, a first pointer designating a first pointer of a preceding element and a second pointer designating a second pointer of a succeeding element, and said step of performing a code movement comprises changing the first and second pointers of the elements.
| 0.695409 |
7,885,915 | 19 | 20 |
19. Computer apparatus according to claim 18 , wherein the data formatting engine is arranged to construct and restructure the D-fat according to at least one user-defined criterion.
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19. Computer apparatus according to claim 18 , wherein the data formatting engine is arranged to construct and restructure the D-fat according to at least one user-defined criterion. 20. Computer apparatus according to claim 19 , wherein the data formatting engine is arranged to construct the D-fat first and then restructure the D-fat until the user-defined criterion is achieved.
| 0.5 |
8,952,961 | 1 | 2 |
1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query.
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1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query. 2. The system of claim 1 , wherein the spatially-located volume of each query is a sphere defined by an origin and a radius around the origin.
| 0.88245 |
8,335,694 | 1 | 8 |
1. A computer implemented-method of implementing a critical results reporting pathway, comprising: initiating a critical results reporting pathway in a computer system, upon a critical data element being identified by said computer system in a report created at a client computer of said computer system, or upon entry into the computer system of an examination order at a client computer of said computer system; identifying a user who entered said examination order or said report and notifying said user of initiation of said critical results reporting pathway via a predetermined electronic communication method predetermined by said user; receiving acknowledgement from said user of said notification via said predetermined electronic communication method, and linking said acknowledgement to a medical finding in said examination order or said report in a database; activating an electronic auditing tool and tracking all actions, using said computer system, which are performed by said user upon review of said report or said examination order at said client computer of said computer system, said actions which include documenting said user's review of said report or said examination order; presenting to said user automated medical options from said database, using said computer system, said medical options which include consultations, additional examinations or procedures; receiving a selection from said user of at least one of said medical options; presenting said user with a list of context-specific options, generated based upon said selected at least one medical option; receiving a selection from said user of one of said context-specific options; and implementing said user's selected context-specific option.
|
1. A computer implemented-method of implementing a critical results reporting pathway, comprising: initiating a critical results reporting pathway in a computer system, upon a critical data element being identified by said computer system in a report created at a client computer of said computer system, or upon entry into the computer system of an examination order at a client computer of said computer system; identifying a user who entered said examination order or said report and notifying said user of initiation of said critical results reporting pathway via a predetermined electronic communication method predetermined by said user; receiving acknowledgement from said user of said notification via said predetermined electronic communication method, and linking said acknowledgement to a medical finding in said examination order or said report in a database; activating an electronic auditing tool and tracking all actions, using said computer system, which are performed by said user upon review of said report or said examination order at said client computer of said computer system, said actions which include documenting said user's review of said report or said examination order; presenting to said user automated medical options from said database, using said computer system, said medical options which include consultations, additional examinations or procedures; receiving a selection from said user of at least one of said medical options; presenting said user with a list of context-specific options, generated based upon said selected at least one medical option; receiving a selection from said user of one of said context-specific options; and implementing said user's selected context-specific option. 8. The method of claim 1 , further comprising: storing results of said procedure in a database, using said computer system.
| 0.708531 |
9,202,242 | 2 | 3 |
2. The method of claim 1 , wherein a type of item in the plurality of types comprises a punchout type, the punchout type being a link to an external supplier site from an internal site.
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2. The method of claim 1 , wherein a type of item in the plurality of types comprises a punchout type, the punchout type being a link to an external supplier site from an internal site. 3. The method of claim 2 , wherein the punchout type is listed in the procurement application.
| 0.5 |
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