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9,547,648 | 1 | 9 | 1. A method comprising: transmitting, over a network to a user computer associated with a network user having a network account with a network content provider, network content provider defined instructions for determining objects of interest in an electronic document visibly displayable on a display of the user computer, the instructions augmenting at least one of the determined objects of interest with additional information related to the at least one determined object of interest, said augmenting comprising modifying code of the electronic document associated with the determined object of interest, the additional information comprising content related to the at least one determined object of interest that also provides an indication of and a capability of additional functionality for the electronic document, said additional functionality is based on a type of the at least one object of interest and a determined identity of an Internet service having functionality for performing the additional functionality respective to the determined object of interest, and is automatically performed upon user selection; receiving at least one object of interest from the user computer, the at least one object of interest is selected by the user computer examining an object outline describing the electronic document, said user computer selection comprising extracting the at least one object of interest from the electronic document, said extraction of the at least one object of interest based on behavioral data of the network user and predetermined instructions received from the network user that identify a type of object the network user desires to have automatically saved in the user's network account; and saving the at least one object of interest in a database associated with the network user and the user's network account, the database is maintained by the network content provider. | 1. A method comprising: transmitting, over a network to a user computer associated with a network user having a network account with a network content provider, network content provider defined instructions for determining objects of interest in an electronic document visibly displayable on a display of the user computer, the instructions augmenting at least one of the determined objects of interest with additional information related to the at least one determined object of interest, said augmenting comprising modifying code of the electronic document associated with the determined object of interest, the additional information comprising content related to the at least one determined object of interest that also provides an indication of and a capability of additional functionality for the electronic document, said additional functionality is based on a type of the at least one object of interest and a determined identity of an Internet service having functionality for performing the additional functionality respective to the determined object of interest, and is automatically performed upon user selection; receiving at least one object of interest from the user computer, the at least one object of interest is selected by the user computer examining an object outline describing the electronic document, said user computer selection comprising extracting the at least one object of interest from the electronic document, said extraction of the at least one object of interest based on behavioral data of the network user and predetermined instructions received from the network user that identify a type of object the network user desires to have automatically saved in the user's network account; and saving the at least one object of interest in a database associated with the network user and the user's network account, the database is maintained by the network content provider. 9. The method of claim 1 , wherein the at least one object of interest is automatically sent to the network content provider. | 0.875746 |
7,613,684 | 1 | 6 | 1. An information retrieval system, comprising: a search query generator, in a computer, responsive to a selection of a level within a hierarchical relationship of terms describing an organizational framework for information, for constructing a search query of terms that are based upon the selected level, and for providing the search query of terms to a search engine to search any of a plurality of information sources selected by a user; and a user interface which provides information about documents located at a user-selected information source by the search engine documents to said user. | 1. An information retrieval system, comprising: a search query generator, in a computer, responsive to a selection of a level within a hierarchical relationship of terms describing an organizational framework for information, for constructing a search query of terms that are based upon the selected level, and for providing the search query of terms to a search engine to search any of a plurality of information sources selected by a user; and a user interface which provides information about documents located at a user-selected information source by the search engine documents to said user. 6. The information retrieval system of claim 1 , wherein said search engine analyzes a selected document among said located documents to determine which of the terms in a hierarchy said selected document most closely relates to, wherein said user interface displays values which identify the relevance of the selected document to levels in the selected hierarchy. | 0.504098 |
8,676,581 | 1 | 2 | 1. In a computing system comprising a microphone array and an image sensor, a method of operating a speech recognition input system, the method comprising: receiving speech recognition data as an output from a speech recognition stage of an audio processing pipeline, the speech recognition data comprising a recognized speech segment and confidence data comprising a recognition confidence value that represents a confidence in a certainty of a match of the recognized speech segment to a speech pattern; receiving acoustic locational data as an output from a digital audio processing stage of the audio processing pipeline, the acoustic locational data related to a location of origin of the recognized speech segment as determined via signals from the microphone array; receiving image data comprising visual locational information related to a location of each person located in a field of view of the image sensor; comparing the acoustic locational data to the visual locational information to determine whether the recognized speech segment originated from a person in the field of view of the image sensor; and adjusting the confidence data based upon whether the recognized speech segment is determined to have originated from a person in the field of view of the image sensor. | 1. In a computing system comprising a microphone array and an image sensor, a method of operating a speech recognition input system, the method comprising: receiving speech recognition data as an output from a speech recognition stage of an audio processing pipeline, the speech recognition data comprising a recognized speech segment and confidence data comprising a recognition confidence value that represents a confidence in a certainty of a match of the recognized speech segment to a speech pattern; receiving acoustic locational data as an output from a digital audio processing stage of the audio processing pipeline, the acoustic locational data related to a location of origin of the recognized speech segment as determined via signals from the microphone array; receiving image data comprising visual locational information related to a location of each person located in a field of view of the image sensor; comparing the acoustic locational data to the visual locational information to determine whether the recognized speech segment originated from a person in the field of view of the image sensor; and adjusting the confidence data based upon whether the recognized speech segment is determined to have originated from a person in the field of view of the image sensor. 2. The method of claim 1 , wherein adjusting the confidence data comprises adjusting the recognition confidence value such that the recognition confidence value has a lower value after adjusting if the recognized speech segment is determined not to have originated from a person in the field of view of the image sensor than if the recognized speech segment is determined to have originated from a person in the field of view of the image sensor. | 0.773834 |
8,108,407 | 6 | 7 | 6. The information retrieval apparatus according to claim 1 , wherein said search word acceptance unit is configured to receive the search word from a terminal apparatus via a network, wherein said user search intent obtaining unit is configured to receive the user search intent from the terminal apparatus via the network, wherein said related word obtaining unit is further configured to transmit the obtained related word to the terminal apparatus via the network, and wherein said retrieval unit is further configured to transmit a search result to the terminal apparatus via the network. | 6. The information retrieval apparatus according to claim 1 , wherein said search word acceptance unit is configured to receive the search word from a terminal apparatus via a network, wherein said user search intent obtaining unit is configured to receive the user search intent from the terminal apparatus via the network, wherein said related word obtaining unit is further configured to transmit the obtained related word to the terminal apparatus via the network, and wherein said retrieval unit is further configured to transmit a search result to the terminal apparatus via the network. 7. The information retrieval apparatus according to claim 6 , further comprising a performance condition storage unit that stores (i) a performance of the terminal apparatus, (ii) a performance relevance degree threshold condition for a relevance degree, and (iii) a performance appearance frequency threshold condition for an appearance frequency, wherein said performance condition storage unit stores the performance of the terminal apparatus, the performance relevance degree threshold condition for the relevance degree, and the performance appearance frequency threshold for the appearance frequency in association with each other, wherein said search word acceptance unit is configured to receive, from the terminal apparatus via the network, the search word and the performance of the terminal apparatus, wherein said related word obtaining unit is configured to obtain, as the related word relevant to the search word, a second target word having (i) a relevance degree with respect to the search word that satisfies the performance relevance degree threshold condition and (ii) an appearance frequency that satisfies the performance appearance frequency degree threshold condition, and wherein the relevance degree for the second target word is stored in said associative dictionary storage unit and the appearance frequency for the second target word is stored in said appearance frequency storage unit. | 0.837956 |
7,937,663 | 14 | 16 | 14. The computer storage media medium of claim 11 , wherein the section details pane includes a list of sections and assignments, wherein an expanded section details pane is populated with assignment metadata associated with a selected section. | 14. The computer storage media medium of claim 11 , wherein the section details pane includes a list of sections and assignments, wherein an expanded section details pane is populated with assignment metadata associated with a selected section. 16. The computer storage media medium of claim 14 , wherein the selection of a section in the section details pane automatically navigates the document editor pane to the selected section in the document. | 0.921959 |
9,779,028 | 1 | 5 | 1. A processor, comprising: one or more processing elements, including at least a first processing element that includes one or more VA-indexed structures indexed by virtual addresses and that is configured to handle invalidation messages, the handling including: in response to determining that a first invalidation message applies to a subset of virtual addresses consisting of fewer than all virtual addresses associated with a first set of one or more translation context values, searching the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address in the subset and invalidating any entries that are found; in response to determining that a second invalidation message applies to all virtual addresses associated with a second set of one or more translation context values and that no entry exists in one or more invalidation-tracking structures corresponding to the second set of one or more translation context values, bypassing searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with the second set of one or more translation context values, where the one or more invalidation-tracking structures track invalidation of different sets of one or more translation context values; and in response to determining that a third invalidation message applies to all virtual addresses associated with a third set of one or more translation context values and that at least one entry exists in the one or more invalidation-tracking structures corresponding to the third set of one or more translation context values, storing invalidation information in the one or more invalidation-tracking structures to invalidate the third set of one or more translation context values and delaying searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with the third set of one or more translation context values. | 1. A processor, comprising: one or more processing elements, including at least a first processing element that includes one or more VA-indexed structures indexed by virtual addresses and that is configured to handle invalidation messages, the handling including: in response to determining that a first invalidation message applies to a subset of virtual addresses consisting of fewer than all virtual addresses associated with a first set of one or more translation context values, searching the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address in the subset and invalidating any entries that are found; in response to determining that a second invalidation message applies to all virtual addresses associated with a second set of one or more translation context values and that no entry exists in one or more invalidation-tracking structures corresponding to the second set of one or more translation context values, bypassing searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with the second set of one or more translation context values, where the one or more invalidation-tracking structures track invalidation of different sets of one or more translation context values; and in response to determining that a third invalidation message applies to all virtual addresses associated with a third set of one or more translation context values and that at least one entry exists in the one or more invalidation-tracking structures corresponding to the third set of one or more translation context values, storing invalidation information in the one or more invalidation-tracking structures to invalidate the third set of one or more translation context values and delaying searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with the third set of one or more translation context values. 5. The processor of claim 1 , wherein the one or more invalidation-tracking structures include a first invalidation-tracking structure that includes entries for a plurality of translation context values representing a first type of translation context information, and a second invalidation-tracking structure that includes entries for a plurality of translation context values representing a second type of translation context information. | 0.554656 |
6,110,226 | 5 | 6 | 5. The method of claim 4, comprising the further steps of: including within said system, software realizing a virtual machine for executing said machine-independent code instructions, and communications software for downloading a file of said machine-independent code instructions. | 5. The method of claim 4, comprising the further steps of: including within said system, software realizing a virtual machine for executing said machine-independent code instructions, and communications software for downloading a file of said machine-independent code instructions. 6. The method of claim 5, comprising the further step of downloading a file of said machine-independent code instructions. | 0.921694 |
9,152,537 | 1 | 5 | 1. A method, comprising: recording, into a first node, a mapping of a current stack trace in response to an execution of a first instruction to construct a first element of a plurality of elements in a computer program, wherein the current stack trace is a stack trace that includes stack frames generated up to a particular point in the execution of code instructions in the computer program; storing the first node in a data structure configured for storing a plurality of nodes, wherein the first node includes a first set of stack frames associated with the execution of the first instruction to construct the first element; incrementally updating the first node by recording, into the first node, a first updated mapping of the current stack trace in response to the execution of a first subsequent instruction that has the first element as a parameter; recording, into a second node, the mapping of the current stack trace in response to the execution of a second instruction to construct a second element of the plurality of elements in the computer program; storing the second node in the data structure, wherein the second node comprises: a portion of the mapping of the current stack trace, the portion of the mapping of the current stack trace including a second set of stack frames associated with the execution of the second instruction to construct the second element; and a pointer to the first node; incrementally updating the second node by recording, into the second node, a second updated mapping of the current stack trace in response to the execution of a second subsequent instruction that has the second element as the parameter; and in response to a determination that no additional instruction for constructing an element exists in the computer program, generating a node string from the plurality of nodes that includes at least the first node and the second node. | 1. A method, comprising: recording, into a first node, a mapping of a current stack trace in response to an execution of a first instruction to construct a first element of a plurality of elements in a computer program, wherein the current stack trace is a stack trace that includes stack frames generated up to a particular point in the execution of code instructions in the computer program; storing the first node in a data structure configured for storing a plurality of nodes, wherein the first node includes a first set of stack frames associated with the execution of the first instruction to construct the first element; incrementally updating the first node by recording, into the first node, a first updated mapping of the current stack trace in response to the execution of a first subsequent instruction that has the first element as a parameter; recording, into a second node, the mapping of the current stack trace in response to the execution of a second instruction to construct a second element of the plurality of elements in the computer program; storing the second node in the data structure, wherein the second node comprises: a portion of the mapping of the current stack trace, the portion of the mapping of the current stack trace including a second set of stack frames associated with the execution of the second instruction to construct the second element; and a pointer to the first node; incrementally updating the second node by recording, into the second node, a second updated mapping of the current stack trace in response to the execution of a second subsequent instruction that has the second element as the parameter; and in response to a determination that no additional instruction for constructing an element exists in the computer program, generating a node string from the plurality of nodes that includes at least the first node and the second node. 5. The method of claim 1 , wherein the second updated mapping includes the second set of stack and new-stack frames generated as a result of the execution of the second subsequent instruction. | 0.930535 |
9,674,588 | 11 | 12 | 11. The network service of claim 8 , wherein the words in the extracted audio stream include musical lyrics provided in metadata of the extracted audio stream. | 11. The network service of claim 8 , wherein the words in the extracted audio stream include musical lyrics provided in metadata of the extracted audio stream. 12. The network service of claim 11 , wherein the operations further comprise assigning a content rating to the content in accordance with a match between the identified words and the plurality of selected words stored in the library. | 0.931298 |
9,576,400 | 23 | 33 | 23. A system for editing avatars, comprising: one or more processors; a computer-readable medium coupled to the one or more processors and storing instructions, which, when executed by the one or more processors, causes the one or more processors to perform operations, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone, the selection elements displayed on either side of the avatar element; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. | 23. A system for editing avatars, comprising: one or more processors; a computer-readable medium coupled to the one or more processors and storing instructions, which, when executed by the one or more processors, causes the one or more processors to perform operations, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone, the selection elements displayed on either side of the avatar element; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. 33. The system of claim 23 , the operations further comprising receiving an input for zooming the avatar element. | 0.900353 |
8,019,610 | 12 | 13 | 12. A method for automatically planning a sentence based on communicative goals, the communicative goals being related to information needed to be obtained from a user, the method comprising: generating and storing via a processor a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of generated sentence plans is a viable and potentially usable prompt in response to a single communication from the user; ranking, independent of the user, the plurality of generated sentence plans; selecting a highest ranked sentence plan of the plurality of generated sentence plans to yield a selected sentence plan; realizing the selected sentence plan to yield a realized sentence plan; and outputting the realized sentence plan to yield an output sentence plan, wherein each needed communicative goal of the communicative goals is addressed by the output sentence plan. | 12. A method for automatically planning a sentence based on communicative goals, the communicative goals being related to information needed to be obtained from a user, the method comprising: generating and storing via a processor a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of generated sentence plans is a viable and potentially usable prompt in response to a single communication from the user; ranking, independent of the user, the plurality of generated sentence plans; selecting a highest ranked sentence plan of the plurality of generated sentence plans to yield a selected sentence plan; realizing the selected sentence plan to yield a realized sentence plan; and outputting the realized sentence plan to yield an output sentence plan, wherein each needed communicative goal of the communicative goals is addressed by the output sentence plan. 13. The method of claim 12 , wherein the realizing step includes applying a set of linguistic rules to the selected sentence plan. | 0.835859 |
10,061,853 | 1 | 6 | 1. A method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for presenting a search result set according to a query, comprising: receiving, from a user device, a query; determining a plurality of categories for the query; retrieving a search result set including a plurality of content items based on the query; receiving, from the user device, a selection of one of the plurality of categories; determining a title for each parameter of a set of sliders based on the selected category and a type of the user device; providing, to the user device, a plurality of query suggestions generated based on the selected category and the set of sliders with the each title, wherein each of the parameters is associated with a sub-category of the selected category and adjustable to obtain a weighting value, and wherein all weighting values of the parameters are used together to order the plurality of content items; receiving, from the user device, one or more of an adjustment of at least one of the parameters or a selection of at least one of the generated query suggestions; and presenting the search result set, in the order based on the obtained weighting values, or another search result set retrieved based on the selected query suggestion, to the user device. | 1. A method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for presenting a search result set according to a query, comprising: receiving, from a user device, a query; determining a plurality of categories for the query; retrieving a search result set including a plurality of content items based on the query; receiving, from the user device, a selection of one of the plurality of categories; determining a title for each parameter of a set of sliders based on the selected category and a type of the user device; providing, to the user device, a plurality of query suggestions generated based on the selected category and the set of sliders with the each title, wherein each of the parameters is associated with a sub-category of the selected category and adjustable to obtain a weighting value, and wherein all weighting values of the parameters are used together to order the plurality of content items; receiving, from the user device, one or more of an adjustment of at least one of the parameters or a selection of at least one of the generated query suggestions; and presenting the search result set, in the order based on the obtained weighting values, or another search result set retrieved based on the selected query suggestion, to the user device. 6. The method of claim 1 , further comprising: identifying a plurality of sub-concepts for at least one concept identified with respect to the search result set. | 0.66318 |
8,296,279 | 10 | 14 | 10. A method, comprising: creating an index corresponding to a word occurring in content at one or more network locations, the index including: two or more substrings of the word; one or more inclusive strings associated with at least one of the two or more substrings of the word, each of the one or more inclusive strings comprising the corresponding substring and at least one more character included in the word; and one or more locations, wherein each of the two or more substrings correspond to at least one of the one or more locations, and the one or more locations identify content that includes at least one of the substring of the word; identifying a search query, the search query including at least one search term that matches the word; and using the index to identify one or more search results for the search query based on the one or more locations included in the index wherein the location is a network location of a web page in which the word occurs. | 10. A method, comprising: creating an index corresponding to a word occurring in content at one or more network locations, the index including: two or more substrings of the word; one or more inclusive strings associated with at least one of the two or more substrings of the word, each of the one or more inclusive strings comprising the corresponding substring and at least one more character included in the word; and one or more locations, wherein each of the two or more substrings correspond to at least one of the one or more locations, and the one or more locations identify content that includes at least one of the substring of the word; identifying a search query, the search query including at least one search term that matches the word; and using the index to identify one or more search results for the search query based on the one or more locations included in the index wherein the location is a network location of a web page in which the word occurs. 14. The method of claim 10 , wherein the index comprises at least one index table or at least one indexed tree. | 0.913686 |
8,494,193 | 10 | 11 | 10. The apparatus of claim 9 , wherein the environment detection module comprises storage for one or more a priori probability variables. | 10. The apparatus of claim 9 , wherein the environment detection module comprises storage for one or more a priori probability variables. 11. The apparatus of claim 10 , wherein the environment detection module comprises storage for training data. | 0.977728 |
7,528,990 | 35 | 36 | 35. An image processing apparatus configured to perform at least a first operation to input image data, a second operation to process said image data and form a print finish, and a third operation to display an expected image finish as a result of said first and said second operations, said image processing system being incorporated into an image-forming system and being provided with a setting unit configured to receive a setting input regarding said print finish processing, comprising: a finish information generation unit configured to generate expected image finish information on completion of said first and said second operations; an input setting screen information generation unit configured to generate input setting screen information for receiving a setting input by an operator based on said expected image finish information generated by said finish information generation unit; and a setting unit configured to receive at least one of (1) a setting input by the operator by way of an input setting screen formed on said display unit based on said input setting screen information generated by said input setting screen information generation unit and (2) said setting input regarding said print finish processing, wherein, on receiving said at least one setting input: said finish information generation unit generates said expected image finish information based on said at least one setting input currently received, said input setting screen information generation unit generates said input setting screen information based on said expected image finish information generated by said finish information generation unit, and said setting unit receives said setting input by the operator by way of said input setting screen formed on said display unit based on said input setting screen information generated by said input setting screen information generation unit and said setting input regarding said print finish processing. | 35. An image processing apparatus configured to perform at least a first operation to input image data, a second operation to process said image data and form a print finish, and a third operation to display an expected image finish as a result of said first and said second operations, said image processing system being incorporated into an image-forming system and being provided with a setting unit configured to receive a setting input regarding said print finish processing, comprising: a finish information generation unit configured to generate expected image finish information on completion of said first and said second operations; an input setting screen information generation unit configured to generate input setting screen information for receiving a setting input by an operator based on said expected image finish information generated by said finish information generation unit; and a setting unit configured to receive at least one of (1) a setting input by the operator by way of an input setting screen formed on said display unit based on said input setting screen information generated by said input setting screen information generation unit and (2) said setting input regarding said print finish processing, wherein, on receiving said at least one setting input: said finish information generation unit generates said expected image finish information based on said at least one setting input currently received, said input setting screen information generation unit generates said input setting screen information based on said expected image finish information generated by said finish information generation unit, and said setting unit receives said setting input by the operator by way of said input setting screen formed on said display unit based on said input setting screen information generated by said input setting screen information generation unit and said setting input regarding said print finish processing. 36. The image processing apparatus according to claim 35 , further comprising: an image analysis unit configured to analyze said image data and to extract a document characteristic value, wherein: said finish information generation unit generates said expected image finish information based on said document characteristic value extracted by said image analysis unit, and said input setting screen information generation unit generates said input setting screen information based on said document characteristic value extracted by said image analysis unit. | 0.609397 |
9,737,759 | 1 | 2 | 1. A computer-implemented method of automatic exercise tracking, comprising: receiving text from a user that describes an exercise that is to be tracked; parsing the received text into text segments; identifying automatically in each parsed text segment an exercise quantity value and an exercise quantity unit for said exercise that is to be tracked, said identifying comprising searching said parsed text segment for a quantity value followed directly by a quantity unit, and assigning said quantity value and said quantity unit to be said exercise quantity value and said exercise quantity unit for the exercise to be tracked, and upon not finding a quantity value followed directly by a quantity unit, selecting as said exercise quantity value and said exercise quantity unit a most frequently occurring quantity value and quantity unit for said exercise to be tracked; cleaning the parsed text segments to identify and remove words, connected spaces, and punctuation that are not used to identify exercise to produce parsed cleaned text; processing the parsed cleaned text segments using a text match algorithm to find said exercise that is to be tracked in each parsed cleaned text segment, comprising ranking each exercise text match found using a ranking process, and selecting the ranked exercise with a predetermined rank to be the exercise that is to be tracked; and reporting exercise tracking information for said exercise to be tracked. | 1. A computer-implemented method of automatic exercise tracking, comprising: receiving text from a user that describes an exercise that is to be tracked; parsing the received text into text segments; identifying automatically in each parsed text segment an exercise quantity value and an exercise quantity unit for said exercise that is to be tracked, said identifying comprising searching said parsed text segment for a quantity value followed directly by a quantity unit, and assigning said quantity value and said quantity unit to be said exercise quantity value and said exercise quantity unit for the exercise to be tracked, and upon not finding a quantity value followed directly by a quantity unit, selecting as said exercise quantity value and said exercise quantity unit a most frequently occurring quantity value and quantity unit for said exercise to be tracked; cleaning the parsed text segments to identify and remove words, connected spaces, and punctuation that are not used to identify exercise to produce parsed cleaned text; processing the parsed cleaned text segments using a text match algorithm to find said exercise that is to be tracked in each parsed cleaned text segment, comprising ranking each exercise text match found using a ranking process, and selecting the ranked exercise with a predetermined rank to be the exercise that is to be tracked; and reporting exercise tracking information for said exercise to be tracked. 2. The method of claim 1 , wherein said parsing further comprises removing all quantity values and quantity units from said parsed text segments, and wherein said ranking said found exercise text matches comprises searching a past history of said user for previous matches, and selecting from said past history a most recent exercise tracked as said exercise to be tracked. | 0.736582 |
8,977,952 | 1 | 7 | 1. A method of maintaining annotations across versions of an electronic book comprising: receiving at an access device a version of an electronic book and a signal instructing the access device to correlate a set of annotations associated with a different version of the electronic book with the received version of the electronic book, the received and different versions of the electronic books each including at least one document file, wherein each annotation in the set of annotations includes a document file indicator corresponding to the at least one document file with which the annotation is associated; using the document file indicator to compare each annotation of the set of annotations with the received version of the electronic book in order to determine where the annotation should be inserted into the received version of the electronic book, wherein if the received version of the electronic book does not include a document file indicator that matches a document file indicator of the different version of the electronic book, the annotation associated with the document file indicator of the different version is inserted at the beginning of the received version of the electronic book; and, inserting each annotation of the set of annotations into a location of the received version based on the comparing. | 1. A method of maintaining annotations across versions of an electronic book comprising: receiving at an access device a version of an electronic book and a signal instructing the access device to correlate a set of annotations associated with a different version of the electronic book with the received version of the electronic book, the received and different versions of the electronic books each including at least one document file, wherein each annotation in the set of annotations includes a document file indicator corresponding to the at least one document file with which the annotation is associated; using the document file indicator to compare each annotation of the set of annotations with the received version of the electronic book in order to determine where the annotation should be inserted into the received version of the electronic book, wherein if the received version of the electronic book does not include a document file indicator that matches a document file indicator of the different version of the electronic book, the annotation associated with the document file indicator of the different version is inserted at the beginning of the received version of the electronic book; and, inserting each annotation of the set of annotations into a location of the received version based on the comparing. 7. The method of claim 1 , wherein the set of annotations associated with a different version of the electronic book is stored on the access device. | 0.792135 |
8,185,425 | 18 | 19 | 18. At least one computer readable storage medium having computer program instructions stored thereon that are arranged to perform the following operations: receiving a date request that includes contextual date information related to a specific date or a specific range of dates, wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said computer program instructions to locate said particular date or range of dates; automatically locating a specific date or a specific range of dates based on the contextual date information of the date request; and automatically initiating the displaying of the located specific date or the located specific range of dates. | 18. At least one computer readable storage medium having computer program instructions stored thereon that are arranged to perform the following operations: receiving a date request that includes contextual date information related to a specific date or a specific range of dates, wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said computer program instructions to locate said particular date or range of dates; automatically locating a specific date or a specific range of dates based on the contextual date information of the date request; and automatically initiating the displaying of the located specific date or the located specific range of dates. 19. A computer readable storage medium as recited in claim 18 , wherein the contextual date information of the date request includes one or more word (s) arranged in a natural language. | 0.824478 |
8,131,805 | 6 | 9 | 6. A system for managing spam within an email message stream directed from a server to a communications device, comprising: a plurality of anti-spam filter levels with at least one anti-spam filter level at each one of the server and the communications device and including at least one anti-spam module configurable for filtering spam messages; anti-spam request means for generating an anti-spam request at the communications device, the anti-spam request including a preferred anti-spam filter level; means for communicating the anti-spam request to the preferred anti-spam filter level from the communication device; means for implementing the anti-spam request on at least one anti-spam module in the preferred anti-spam filter level based on at least one predetermined criterion; and means for determining if the anti-spam request cannot be implemented at the preferred anti-spam level and, if it is determined that the anti-spam request cannot be implemented at the preferred anti-spam level, implementing the anti-spam request at the uppermost anti-spam filter level having at least one anti-spam module with available processing capacity. | 6. A system for managing spam within an email message stream directed from a server to a communications device, comprising: a plurality of anti-spam filter levels with at least one anti-spam filter level at each one of the server and the communications device and including at least one anti-spam module configurable for filtering spam messages; anti-spam request means for generating an anti-spam request at the communications device, the anti-spam request including a preferred anti-spam filter level; means for communicating the anti-spam request to the preferred anti-spam filter level from the communication device; means for implementing the anti-spam request on at least one anti-spam module in the preferred anti-spam filter level based on at least one predetermined criterion; and means for determining if the anti-spam request cannot be implemented at the preferred anti-spam level and, if it is determined that the anti-spam request cannot be implemented at the preferred anti-spam level, implementing the anti-spam request at the uppermost anti-spam filter level having at least one anti-spam module with available processing capacity. 9. The system of claim 6 , wherein the means for implementing the anti-spam request comprises means for processing an anti-spam action on an anti-spam address and any anti-spam subject specified in the anti-spam request, the anti-spam action being one of add, change, and cancel. | 0.809946 |
8,583,608 | 15 | 20 | 15. A system, comprising: a computer processor; and a memory containing a program that, when executed on the computer processor, performs an operation for managing query execution, comprising: receiving a query for processing from a requesting entity; calculating an estimated execution time for executing the received query, wherein the estimated execution time approximates an amount of time the received query will take to execute; determining a maximum allowable runtime for the received query; adjusting an amount of memory compression used in executing the received query, based at least in part on the estimated execution time and the maximum allowable runtime for the received query; and issuing the query for execution using the adjusted amount of memory compression. | 15. A system, comprising: a computer processor; and a memory containing a program that, when executed on the computer processor, performs an operation for managing query execution, comprising: receiving a query for processing from a requesting entity; calculating an estimated execution time for executing the received query, wherein the estimated execution time approximates an amount of time the received query will take to execute; determining a maximum allowable runtime for the received query; adjusting an amount of memory compression used in executing the received query, based at least in part on the estimated execution time and the maximum allowable runtime for the received query; and issuing the query for execution using the adjusted amount of memory compression. 20. The system of claim 15 , wherein calculating an estimated execution time for executing the received query is further based on historical usage data collected from previously executed queries. | 0.802231 |
9,047,275 | 26 | 28 | 26. A computer-readable medium having stored thereon a sequence of instructions, which, when executed by a computer system for aligning fragments of a first text in a first language with corresponding fragments of a second text, which is a translation of the first text into a second language, causes the system to perform a method, comprising: preliminarily dividing the first and second texts into fragments; generating a hypothesis about correspondence between at least first fragment in the first text and at least second fragment in the second text; performing a lexico-morphological analysis of the first and the second fragments using linguistic descriptions; performing a syntactic analysis of the first and the second fragments using linguistic descriptions and generating a syntactic structure for the first fragment and a syntactic structure for the second fragment; generating a semantic structure for the first fragment and a semantic structure for the second fragment, wherein the semantic structures are directional acyclic graphs with nodes that are assigned elements of semantic hierarchy; estimating the degree of correspondence between the semantic structure for the first fragment and the semantic structure for the second fragment, wherein estimating the degree of correspondence between the semantic structures includes identifying correspondence of tree structure, deep slots, non-tree links, and semantic classes; and if the degree of correspondence between the semantic structure for the first fragment and the semantic structure for the second fragment satisfies a predetermined threshold, saving the generated syntactic and semantic structures for the first fragment in connection with the first fragment; and saving the generated syntactic and semantic structures for the second fragment in connection with the second fragment. | 26. A computer-readable medium having stored thereon a sequence of instructions, which, when executed by a computer system for aligning fragments of a first text in a first language with corresponding fragments of a second text, which is a translation of the first text into a second language, causes the system to perform a method, comprising: preliminarily dividing the first and second texts into fragments; generating a hypothesis about correspondence between at least first fragment in the first text and at least second fragment in the second text; performing a lexico-morphological analysis of the first and the second fragments using linguistic descriptions; performing a syntactic analysis of the first and the second fragments using linguistic descriptions and generating a syntactic structure for the first fragment and a syntactic structure for the second fragment; generating a semantic structure for the first fragment and a semantic structure for the second fragment, wherein the semantic structures are directional acyclic graphs with nodes that are assigned elements of semantic hierarchy; estimating the degree of correspondence between the semantic structure for the first fragment and the semantic structure for the second fragment, wherein estimating the degree of correspondence between the semantic structures includes identifying correspondence of tree structure, deep slots, non-tree links, and semantic classes; and if the degree of correspondence between the semantic structure for the first fragment and the semantic structure for the second fragment satisfies a predetermined threshold, saving the generated syntactic and semantic structures for the first fragment in connection with the first fragment; and saving the generated syntactic and semantic structures for the second fragment in connection with the second fragment. 28. The computer-readable medium of claim 26 further comprising, if the degree of correspondence is sufficiently high, confirming the hypothesis, otherwise changing boundaries of the fragment so as to select a new hypothesis. | 0.502212 |
9,852,205 | 7 | 8 | 7. The computer system of claim 1 , wherein the computer processor is further configured to: update the graphical user interface to display a plurality of selectable layers, each of the selectable layers corresponding to different values of one of the selected dimensions, each of the selectable layers including the plurality of two-dimensional graphs generated based on the corresponding value of the one of the selected dimensions. | 7. The computer system of claim 1 , wherein the computer processor is further configured to: update the graphical user interface to display a plurality of selectable layers, each of the selectable layers corresponding to different values of one of the selected dimensions, each of the selectable layers including the plurality of two-dimensional graphs generated based on the corresponding value of the one of the selected dimensions. 8. The computer system of claim 7 , wherein the computer processor is further configured to: receive, via the graphical user interface, a selection of one of the plurality of layers; and update the graphical user interface to display the selected layer including the corresponding two-dimensional graphs. | 0.934567 |
8,218,849 | 10 | 11 | 10. An apparatus for detecting anatomic landmarks of a left ventricle (LV) in a magnetic resonance (MR) long axis image slice, comprising: means for detecting a plurality of apex candidates in the MR long axis image slice using a trained apex detector; means for detecting a plurality of base plane candidates in the MR long axis image slice using a trained base plane detector; means for generating a joint context for each apex-base plane candidate pair; and means for determining a best apex-base plane candidate pair based on the generated joint context using a trained joint context detector. | 10. An apparatus for detecting anatomic landmarks of a left ventricle (LV) in a magnetic resonance (MR) long axis image slice, comprising: means for detecting a plurality of apex candidates in the MR long axis image slice using a trained apex detector; means for detecting a plurality of base plane candidates in the MR long axis image slice using a trained base plane detector; means for generating a joint context for each apex-base plane candidate pair; and means for determining a best apex-base plane candidate pair based on the generated joint context using a trained joint context detector. 11. The apparatus of claim 10 , wherein said means for detecting a plurality of base plane candidates in the MR long axis image slice using a trained base plane detector comprises: means for detecting a plurality of basal annulus point candidates in the MR long axis image slice using a trained annulus point detector; means for generating base plane hypotheses by generating a joint context for combinations of detected basal annulus point candidates; and means for detecting the plurality of base plane candidates from the base plane hypotheses using the trained base plane detector. | 0.640221 |
10,067,574 | 3 | 18 | 3. The method of claim 1 , wherein the device keyboard is a tablet keyboard. | 3. The method of claim 1 , wherein the device keyboard is a tablet keyboard. 18. The method of claim 3 , wherein the tablet keyboard is non-virtual. | 0.982268 |
7,765,225 | 2 | 4 | 2. The method as claimed in claim 1 wherein the search interface further includes one or more search term clarification buttons which, when selected by a user, assign specific additional search terms to a search term entered by a user into the search term input window. | 2. The method as claimed in claim 1 wherein the search interface further includes one or more search term clarification buttons which, when selected by a user, assign specific additional search terms to a search term entered by a user into the search term input window. 4. The method as claimed in claim 2 wherein the additional search terms assigned to the search clarification buttons correspond to search identifier terms associated with searchable documents. | 0.960526 |
6,108,632 | 23 | 24 | 23. Apparatus as in claim 20 in which said confirmatory output device comprises: a speech synthesizer arranged to generator, from said parameter output values, a corresponding synthetic speech signal reciting said values. | 23. Apparatus as in claim 20 in which said confirmatory output device comprises: a speech synthesizer arranged to generator, from said parameter output values, a corresponding synthetic speech signal reciting said values. 24. Apparatus as in claim 23 in which said speech synthesizer is coupled to said telephone to supply said synthetic speech signal to said human transaction operator via said telephone. | 0.880983 |
8,781,813 | 1 | 5 | 1. An article of manufacture including a non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform operations comprising: receiving a group of text questions from a plurality of users over a period of time; identifying groups of the logged questions that use a variety of different linguistic expressions to express similar information requests; assigning intent categories applicable to each group of questions requesting similar information; identifying ontologies associated with the intent categories; presenting concepts in the identified ontologies for selection by a user; assigning any of the selected concepts as ontology parameters for the associated intent categories; displaying intent responses for the ontology parameters assigned to the intent categories; configuring the intent responses for at least some of the intent categories, wherein each intent response provides applicable information to all of the questions assigned to the associated intent category; identifying ones of the intent categories associated with at least a first threshold number of the questions, and web-posting all of the intent responses associated with said identified intent categories together on an enterprise home web page if not currently web-posted, wherein said web-posting is in response to said identification, and wherein said web-posting of all of the intent responses is visible to a user of the enterprise home web page; identifying ones of the intent categories that are not associated with at least a second threshold number of the questions, and removing intent responses for any of said identified intent categories if currently web-posted, wherein said removal is in response to said identification; and for those ones of the intent categories with no associated intent response, identifying ones of the intent categories associated with at least a third threshold number of the questions, and in response to said identification, initiating generation of an intent response for each of said identified intent categories. | 1. An article of manufacture including a non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform operations comprising: receiving a group of text questions from a plurality of users over a period of time; identifying groups of the logged questions that use a variety of different linguistic expressions to express similar information requests; assigning intent categories applicable to each group of questions requesting similar information; identifying ontologies associated with the intent categories; presenting concepts in the identified ontologies for selection by a user; assigning any of the selected concepts as ontology parameters for the associated intent categories; displaying intent responses for the ontology parameters assigned to the intent categories; configuring the intent responses for at least some of the intent categories, wherein each intent response provides applicable information to all of the questions assigned to the associated intent category; identifying ones of the intent categories associated with at least a first threshold number of the questions, and web-posting all of the intent responses associated with said identified intent categories together on an enterprise home web page if not currently web-posted, wherein said web-posting is in response to said identification, and wherein said web-posting of all of the intent responses is visible to a user of the enterprise home web page; identifying ones of the intent categories that are not associated with at least a second threshold number of the questions, and removing intent responses for any of said identified intent categories if currently web-posted, wherein said removal is in response to said identification; and for those ones of the intent categories with no associated intent response, identifying ones of the intent categories associated with at least a third threshold number of the questions, and in response to said identification, initiating generation of an intent response for each of said identified intent categories. 5. The article of manufacture of claim 1 , wherein the operations further comprise configuring at least some of the intent categories into an intent hierarchy that causes the intent responses associated with the intent categories to be displayed according to the configured intent hierarchy. | 0.8103 |
8,990,074 | 33 | 35 | 33. An apparatus for noise-robust speech classification, comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable by the processor to: input classification parameters to a speech classifier from external components; generate, in the speech classifier, internal classification parameters from at least one of the input classification parameters; set a Normalized Auto-correlation Coefficient Function threshold, wherein the instructions executable to set the Normalized Auto-correlation Coefficient Function threshold further comprise instructions executable to: increase a first voicing threshold for classifying a current frame as unvoiced when a signal-to-noise ratio (SNR) fails to exceed a first SNR threshold, wherein the first voicing threshold is not adjusted if the SNR is above the first SNR threshold, and increase an energy threshold for classifying the current frame as unvoiced when the noise estimate exceeds a noise estimate threshold, wherein the energy threshold is not adjusted if the noise estimate is below the noise estimate threshold; and determine a speech mode classification based on the first voicing threshold and the energy threshold. | 33. An apparatus for noise-robust speech classification, comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable by the processor to: input classification parameters to a speech classifier from external components; generate, in the speech classifier, internal classification parameters from at least one of the input classification parameters; set a Normalized Auto-correlation Coefficient Function threshold, wherein the instructions executable to set the Normalized Auto-correlation Coefficient Function threshold further comprise instructions executable to: increase a first voicing threshold for classifying a current frame as unvoiced when a signal-to-noise ratio (SNR) fails to exceed a first SNR threshold, wherein the first voicing threshold is not adjusted if the SNR is above the first SNR threshold, and increase an energy threshold for classifying the current frame as unvoiced when the noise estimate exceeds a noise estimate threshold, wherein the energy threshold is not adjusted if the noise estimate is below the noise estimate threshold; and determine a speech mode classification based on the first voicing threshold and the energy threshold. 35. The apparatus of claim 33 , wherein the input parameters comprise one or more of a noise suppressed speech signal, voice activity information, Linear Prediction reflection coefficients, Normalized Auto-correlation Coefficient Function information and Normalized Auto-correlation Coefficient Function at pitch information. | 0.654255 |
10,007,883 | 21 | 25 | 21. The computing device of claim 20 , wherein the processing unit is further configured to select a first tuple from the second set of tuples, wherein the first tuple locally dominates a second tuple from the second set of tuples. | 21. The computing device of claim 20 , wherein the processing unit is further configured to select a first tuple from the second set of tuples, wherein the first tuple locally dominates a second tuple from the second set of tuples. 25. The computing device of claim 21 , wherein the processing unit is further configured to identify a fourth tuple of the second relation which locally dominates the second tuple. | 0.971328 |
8,180,725 | 15 | 17 | 15. The computer-readable storage medium of claim 12 , wherein determining the link-rating for a given link between a parent and a child involves: determining an expected count for the given link which indicates an expected number of times the given link was activated; calculating a significance for the given link by dividing a probability of the child given the parent by a probability of the child, significance=p(child|parent)/p(child); and calculating the link-rating for the given link as a function of the significance and the expected count for the given link. | 15. The computer-readable storage medium of claim 12 , wherein determining the link-rating for a given link between a parent and a child involves: determining an expected count for the given link which indicates an expected number of times the given link was activated; calculating a significance for the given link by dividing a probability of the child given the parent by a probability of the child, significance=p(child|parent)/p(child); and calculating the link-rating for the given link as a function of the significance and the expected count for the given link. 17. The computer-readable storage medium of claim 15 , wherein determining the expected count for the given link involves reducing the value of the expected count if the given link is a prospective link. | 0.905669 |
7,689,559 | 3 | 6 | 3. The method of claim 2 , further comprising: calculating said word similarity score between said word and each document in said set of electronic documents in which the word appears. | 3. The method of claim 2 , further comprising: calculating said word similarity score between said word and each document in said set of electronic documents in which the word appears. 6. The method of claim 3 , wherein the step of calculating said word similarity score comprises setting said word similarity score equal to a normalized word frequency for each document. | 0.970058 |
8,010,681 | 1 | 17 | 1. A non-transitory computer-readable storage medium embodying a program of instruction executable by a computer for performing a method of communicating between an application program of a resolution protocol and a server process on a same node to manage peer-to-peer identities, comprising the steps of: providing, on the same node, an application program interface for use by the application program of the resolution protocol to manage peer-to-peer identities; receiving, at the server process on the same node, via the application program interface, a peer identity create call having a plurality of call parameters comprising a classifier, a peer-to-peer friendly name, a handle to a container in which a key pair exists, and a pointer to a location to which an identity name should be returned, wherein the key pair includes a private key and a public key, and wherein the key pair and the classifier are used to generate the identity name; parsing, at the server process, the peer identity create call to retrieve the plurality of call parameters; returning to the application program a value indicative of the success/failure of the peer identity create call; receiving, at the server process on the same node, via the application program interface, a peer identity management call corresponding to the identity name corresponding to peer identity create call, and the peer identity management call having one or more corresponding call parameters; parsing, at the server process, the peer identity management call to retrieve the one or more corresponding call parameters; and returning to the application program a value indicative of the success/failure of the peer identity management call. | 1. A non-transitory computer-readable storage medium embodying a program of instruction executable by a computer for performing a method of communicating between an application program of a resolution protocol and a server process on a same node to manage peer-to-peer identities, comprising the steps of: providing, on the same node, an application program interface for use by the application program of the resolution protocol to manage peer-to-peer identities; receiving, at the server process on the same node, via the application program interface, a peer identity create call having a plurality of call parameters comprising a classifier, a peer-to-peer friendly name, a handle to a container in which a key pair exists, and a pointer to a location to which an identity name should be returned, wherein the key pair includes a private key and a public key, and wherein the key pair and the classifier are used to generate the identity name; parsing, at the server process, the peer identity create call to retrieve the plurality of call parameters; returning to the application program a value indicative of the success/failure of the peer identity create call; receiving, at the server process on the same node, via the application program interface, a peer identity management call corresponding to the identity name corresponding to peer identity create call, and the peer identity management call having one or more corresponding call parameters; parsing, at the server process, the peer identity management call to retrieve the one or more corresponding call parameters; and returning to the application program a value indicative of the success/failure of the peer identity management call. 17. The non-transitory computer-readable storage medium of claim 1 , wherein: the step of receiving the peer identity management call comprises receiving a peer create peer name call having the one or more corresponding call parameters comprising the identity name and a string containing a new classifier that needs to be appended to an existing peer name of the identity to form anew peer name, and a pointer to a location to which the new peer name is returned; and the step of returning to the application program the value indicative of the success/failure of the peer identity management call comprises returning to the application program a value indicative of the success/failure of the peer create peer name call. | 0.626294 |
9,066,046 | 1 | 11 | 1. A method of controlling play of an audio signal comprising: receiving a closed caption signal; identifying a specified text in the closed caption signal; obtaining a comparative form of the specified text, the comparative form generated based on a phonetic representation of each sound category in the specified text, the phonetic representation characterized by time and energy; obtaining a comparative form of the audio signal associated with the closed caption signal, the comparative form of the audio signal including a series of vectors of energy involving a total energy of a speech slice and an energy of one or more frequency bands of the speech slice; and controlling playback of at least a portion of the audio signal corresponding to the specified text when a comparison of the energy of the comparative form of the specified text with the energy of the comparative form of the audio signal indicates a match between the audio signal and the specified text. | 1. A method of controlling play of an audio signal comprising: receiving a closed caption signal; identifying a specified text in the closed caption signal; obtaining a comparative form of the specified text, the comparative form generated based on a phonetic representation of each sound category in the specified text, the phonetic representation characterized by time and energy; obtaining a comparative form of the audio signal associated with the closed caption signal, the comparative form of the audio signal including a series of vectors of energy involving a total energy of a speech slice and an energy of one or more frequency bands of the speech slice; and controlling playback of at least a portion of the audio signal corresponding to the specified text when a comparison of the energy of the comparative form of the specified text with the energy of the comparative form of the audio signal indicates a match between the audio signal and the specified text. 11. The method of claim 1 wherein the operation of identifying the specified text further comprising the operation of identifying a preceding text, the preceding text temporally preceding the specified text. | 0.649153 |
9,390,195 | 20 | 21 | 20. The apparatus of claim 19 , wherein the means for selecting one of the quota cells from the set at random further comprises means for weighting random selection of the quota cells according to priorities assigned to the quota cells. | 20. The apparatus of claim 19 , wherein the means for selecting one of the quota cells from the set at random further comprises means for weighting random selection of the quota cells according to priorities assigned to the quota cells. 21. The apparatus of claim 20 , further comprising means for assigning the priorities based on percentage of progress of the project, elapsed effective field time for completion of the project, and scarcity of the quota cell criteria. | 0.937832 |
6,160,536 | 50 | 51 | 50. The apparatus of claim 49 wherein the indicator includes a first indicator on the display area and the indication in the first manner includes a modification in the appearance of the first indicator. | 50. The apparatus of claim 49 wherein the indicator includes a first indicator on the display area and the indication in the first manner includes a modification in the appearance of the first indicator. 51. The apparatus of claim 50 wherein the indicator is further operative to modify in a second manner the appearance of a second indicator on the display area responsive to the first quantity not equalling or exceeding the first predetermined quantity. | 0.964397 |
7,613,702 | 2 | 3 | 2. The system of claim 1 wherein the device set comprises a plurality of devices, and wherein the information agent service determines a selected device of the set to send the notification to based on the user criteria. | 2. The system of claim 1 wherein the device set comprises a plurality of devices, and wherein the information agent service determines a selected device of the set to send the notification to based on the user criteria. 3. The system of claim 2 , wherein the information agent service accesses device data corresponding to the selected device, and modifies data in the notification to match the device data of the selected device. | 0.945876 |
5,452,238 | 13 | 14 | 13. The method of claim 11, the subnetwork comprising a loop and the solving substep satisfying the constraints relating the geometric entities to each other. | 13. The method of claim 11, the subnetwork comprising a loop and the solving substep satisfying the constraints relating the geometric entities to each other. 14. The method of claim 13, including the substep of identifying the loop with the fewest degrees of freedom and solving the identified loop first. | 0.936856 |
9,047,488 | 7 | 8 | 7. The method of claim 6 , further comprising: determining a rarity function based on the combinatorial rarity matrix, wherein the rarity function defines a border between rare combinations of terms and common combinations of terms within the relational context; and selecting the selected key attributes for anonymization based on the rarity function. | 7. The method of claim 6 , further comprising: determining a rarity function based on the combinatorial rarity matrix, wherein the rarity function defines a border between rare combinations of terms and common combinations of terms within the relational context; and selecting the selected key attributes for anonymization based on the rarity function. 8. The method of claim 7 , wherein determining a rarity function comprises: performing a linear regression operation on the combinatorial rarity matrix to generate a linear regression graph in which data points correspond to terms or combinations of terms in the combinatorial rarity matrix; generating a linear predictor function based on the linear regression graph and a cost function; and shifting the linear predictor function to better fit data points having a higher rarity weight in the linear regression graph while maintaining a cost value of the cost function equal to or below a maximum cost value, to thereby generate the rarity function. | 0.806595 |
7,729,911 | 16 | 17 | 16. The system of claim 15 wherein the sound-detecting device is in a motor vehicle. | 16. The system of claim 15 wherein the sound-detecting device is in a motor vehicle. 17. The system of claim 16 wherein the processing device is located at a station remote from the motor vehicle. | 0.952926 |
7,693,917 | 20 | 21 | 20. A method for managing instance data, comprising: defining a metadata model establishing metadata elements and a table driven infrastructure for storing the instance data, said instance data organized according to said metadata model; storing said metadata and said instance data in a relational database, altering said metadata model when necessary without requiring reorganization or substantial manipulation of said instance data, creating a user interface, managing access to said instance data by users based on a security scheme, said managing including allowing authorized users to modify said instance data using a computer through said user interface. | 20. A method for managing instance data, comprising: defining a metadata model establishing metadata elements and a table driven infrastructure for storing the instance data, said instance data organized according to said metadata model; storing said metadata and said instance data in a relational database, altering said metadata model when necessary without requiring reorganization or substantial manipulation of said instance data, creating a user interface, managing access to said instance data by users based on a security scheme, said managing including allowing authorized users to modify said instance data using a computer through said user interface. 21. A method in accordance with claim 20 , wherein said step of managing access to said instance data comprises authenticating users through several levels of authentication describing user rights. | 0.824733 |
7,684,894 | 1 | 12 | 1. An autonomously moving robot that drives while evading obstacles, comprising: a memory to memorize map information of a driving domain and various parameters for driving; an input instruction receiver to input a destination and a command for moving; a route determiner to form a driving route to the destination; an environmental information acquisitioner to acquire environmental information on the driving route including an object becoming an obstacle; a driver to drive the autonomously moving robot; a self-location recognition sensor to recognize a self-location on a basis of information provided by the environmental information acquisitioner and the map information; and a driving controller to control the driver to arrive at the destination while evading obstacles and recognizing the self-location, wherein the environmental information acquisitioner further comprises: an imaging apparatus that takes an environmental image on the driving route; an image recognition processor to extract an edge image from the taken environmental image, and to evaluate a degree of circularity of the edge image by arithmetically processing the shape of the edge image, and if the evaluated degree of circularity is larger than a predetermined threshold value, the image recognition processor extracts an area including the evaluated edge image from the environmental image as a candidate region including a human head; a ranging apparatus to detect an object existing in an environment on the driving route, and to measure a distance range and an orientation of the object; a range information analyzer to arithmetically process the measured distance range and the orientation of the object to obtain a width of the object related to an angle region where collected data of the measured distance range and the orientation is generally constant, wherein the object is recognized based on the obtained width being within predetermined values; and an environment recognizer to perform recognition processing by comparing information based on an orientation in actual space of the candidate region including the human head extracted by the image recognition processor with information based on an orientation of the object having the width that is within the predetermined values recognized by the range information analyzer, and wherein when the compared information is consistent with one another, the environment recognizer outputs the information of the distance range and the orientation of the object as an environmental information on a person on the driving route to the driving controller. | 1. An autonomously moving robot that drives while evading obstacles, comprising: a memory to memorize map information of a driving domain and various parameters for driving; an input instruction receiver to input a destination and a command for moving; a route determiner to form a driving route to the destination; an environmental information acquisitioner to acquire environmental information on the driving route including an object becoming an obstacle; a driver to drive the autonomously moving robot; a self-location recognition sensor to recognize a self-location on a basis of information provided by the environmental information acquisitioner and the map information; and a driving controller to control the driver to arrive at the destination while evading obstacles and recognizing the self-location, wherein the environmental information acquisitioner further comprises: an imaging apparatus that takes an environmental image on the driving route; an image recognition processor to extract an edge image from the taken environmental image, and to evaluate a degree of circularity of the edge image by arithmetically processing the shape of the edge image, and if the evaluated degree of circularity is larger than a predetermined threshold value, the image recognition processor extracts an area including the evaluated edge image from the environmental image as a candidate region including a human head; a ranging apparatus to detect an object existing in an environment on the driving route, and to measure a distance range and an orientation of the object; a range information analyzer to arithmetically process the measured distance range and the orientation of the object to obtain a width of the object related to an angle region where collected data of the measured distance range and the orientation is generally constant, wherein the object is recognized based on the obtained width being within predetermined values; and an environment recognizer to perform recognition processing by comparing information based on an orientation in actual space of the candidate region including the human head extracted by the image recognition processor with information based on an orientation of the object having the width that is within the predetermined values recognized by the range information analyzer, and wherein when the compared information is consistent with one another, the environment recognizer outputs the information of the distance range and the orientation of the object as an environmental information on a person on the driving route to the driving controller. 12. The autonomously moving robot described in claim 1 , wherein the driving control means controls the driving means in a moving speed corresponding to a range or a range and an angle when the object recognized as a person exists in a range previously established. | 0.750471 |
8,731,901 | 10 | 11 | 10. A method, executed within one or more computer processors, of transforming content of an electronic document from a non-Romanized native language to a Romanized language the method comprising: identifying within the native language document one or more references, in the native language, to entities having Romanized language names; generating a preprocessed version of the native language document in which the identified references to entities having Romanized language names are replaced by the Romanized language names and corresponding tags that specify the Romanized language names as named entities; and translating the preprocessed version of the native language document into Romanized-language output document, maintaining the Romanized language names in the output document and applying the Romanized language names and corresponding tags as context for disambiguating remaining native language expressions in the preprocessed version of the native language document. | 10. A method, executed within one or more computer processors, of transforming content of an electronic document from a non-Romanized native language to a Romanized language the method comprising: identifying within the native language document one or more references, in the native language, to entities having Romanized language names; generating a preprocessed version of the native language document in which the identified references to entities having Romanized language names are replaced by the Romanized language names and corresponding tags that specify the Romanized language names as named entities; and translating the preprocessed version of the native language document into Romanized-language output document, maintaining the Romanized language names in the output document and applying the Romanized language names and corresponding tags as context for disambiguating remaining native language expressions in the preprocessed version of the native language document. 11. The method of claim 10 , wherein identifying the one or more references to entities having Romanized language names comprises transliterating the native language document into a Romanized language output. | 0.858117 |
8,712,868 | 1 | 11 | 1. A method comprising: selecting a user to receive one or more recommended listings hosted by a network-based commerce system; determining a term-category pair that pairs a term with a category of listings in which the term matches at least a predetermined number of listings and with which the selected user has interacted in an interaction; generating a user-specific query that corresponds to the selected user and that includes the term from the term-category pair, the generating of the user-specific query being performed by a processor of a machine; identifying a recommended listing from among a plurality of listings hosted by the network-based commerce system, the identifying of the recommended listing being based on the generated user-specific query and including identifying a set of listings within the plurality of listings, the set of listings being identified between an upper popularity boundary of the term-category pair and a lower popularity boundary of the term-category pair; and providing the recommended listing to a client machine of the selected user. | 1. A method comprising: selecting a user to receive one or more recommended listings hosted by a network-based commerce system; determining a term-category pair that pairs a term with a category of listings in which the term matches at least a predetermined number of listings and with which the selected user has interacted in an interaction; generating a user-specific query that corresponds to the selected user and that includes the term from the term-category pair, the generating of the user-specific query being performed by a processor of a machine; identifying a recommended listing from among a plurality of listings hosted by the network-based commerce system, the identifying of the recommended listing being based on the generated user-specific query and including identifying a set of listings within the plurality of listings, the set of listings being identified between an upper popularity boundary of the term-category pair and a lower popularity boundary of the term-category pair; and providing the recommended listing to a client machine of the selected user. 11. The method of claim 1 , wherein: the identifying of the recommended listing includes: determining that the set of listings each satisfy a criterion; ranking each listing of the set of listings; and selecting the recommended listing from the set of ranked listings. | 0.595166 |
8,639,509 | 6 | 15 | 6. The method of claim 5 , wherein, in addition to the history score, the at least one feature includes at least one of a set of features, including: a parse-tree-word-level confidence score calculated based on respective word-level confidence scores of a plurality of words of the respective sub-tree; a POS-tag confidence score based on respective POS-tag scores computed for the POS tag assignments of the plurality of words of the respective sub-tree; a linking score representing a conditional probability of a link of a highest level of the respective sub-tree, the link including a dependency relation and a directionality; each of a plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; a dependency relation characteristic; a single level joint head and dependency relation (SL-JHD) characteristic; a single level joint mod and dependency relation (SL-JMD) characteristic; a single level joint head, mod, and dependency relation (SL-JHMD) characteristic; a joint dependency relation (JDR) characteristic; a multi-level joint head and dependency relation (ML-JHD) characteristic; a multi-level joint mod and dependency relation (ML-JMD) characteristic; a multi-level joint head, mod, and dependency relation (ML-JHMD) characteristic; a head, dependency, and left and right neighbors (HDLRN) characteristic; a sub-tree size characteristic; and a semantic slot feature. | 6. The method of claim 5 , wherein, in addition to the history score, the at least one feature includes at least one of a set of features, including: a parse-tree-word-level confidence score calculated based on respective word-level confidence scores of a plurality of words of the respective sub-tree; a POS-tag confidence score based on respective POS-tag scores computed for the POS tag assignments of the plurality of words of the respective sub-tree; a linking score representing a conditional probability of a link of a highest level of the respective sub-tree, the link including a dependency relation and a directionality; each of a plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; a dependency relation characteristic; a single level joint head and dependency relation (SL-JHD) characteristic; a single level joint mod and dependency relation (SL-JMD) characteristic; a single level joint head, mod, and dependency relation (SL-JHMD) characteristic; a joint dependency relation (JDR) characteristic; a multi-level joint head and dependency relation (ML-JHD) characteristic; a multi-level joint mod and dependency relation (ML-JMD) characteristic; a multi-level joint head, mod, and dependency relation (ML-JHMD) characteristic; a head, dependency, and left and right neighbors (HDLRN) characteristic; a sub-tree size characteristic; and a semantic slot feature. 15. The method of claim 6 , wherein the at least one feature includes three ML-JHMD features, including one for each of the highest level of the respective sub-tree and left and right child sub-trees corresponding to a level immediately below the highest level of the respective sub-tree. | 0.898161 |
8,010,681 | 14 | 16 | 14. The non-transitory computer-readable storage medium of claim 1 , wherein: the step of receiving the peer identity management call comprises receiving a peer identity get XML call having the one or more corresponding call parameters comprising the identity name and a pointer to a location to which a string containing an XML fragment with information about a peer identity corresponding to the identity name is returned; and the step of returning to the application program the value indicative of the success/failure of the peer identity management call comprises returning to the application program a value indicative of the success/failure of the peer identity get XML call. | 14. The non-transitory computer-readable storage medium of claim 1 , wherein: the step of receiving the peer identity management call comprises receiving a peer identity get XML call having the one or more corresponding call parameters comprising the identity name and a pointer to a location to which a string containing an XML fragment with information about a peer identity corresponding to the identity name is returned; and the step of returning to the application program the value indicative of the success/failure of the peer identity management call comprises returning to the application program a value indicative of the success/failure of the peer identity get XML call. 16. The non-transitory computer-readable storage medium of claim 14 , wherein the step of returning to the application program the value indicative of the success/failure of the peer identity get XML call comprises a step of returning an error indicative that the pointer is NULL. | 0.929542 |
9,720,814 | 14 | 18 | 14. A computing device to infer template usage by services for use in testing, the computing device comprising: one or more processors; and one or more computer-readable storage media comprising instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: applying template inference techniques to symbolically represent likely templates used by respective services of a service provider to infer templates that are likely used for documents for the respective services that are available via corresponding universal resource locators (URLs) to form an inferred dataset; identifying overlaps in the inferred dataset to cluster services together that have likely used corresponding templates; removing one or more duplicates from the inferred dataset based on the identified overlaps to form a de-duplicated dataset; and controlling testing of the one or more services based at least in part on the clustered services and the de-duplicated dataset. | 14. A computing device to infer template usage by services for use in testing, the computing device comprising: one or more processors; and one or more computer-readable storage media comprising instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: applying template inference techniques to symbolically represent likely templates used by respective services of a service provider to infer templates that are likely used for documents for the respective services that are available via corresponding universal resource locators (URLs) to form an inferred dataset; identifying overlaps in the inferred dataset to cluster services together that have likely used corresponding templates; removing one or more duplicates from the inferred dataset based on the identified overlaps to form a de-duplicated dataset; and controlling testing of the one or more services based at least in part on the clustered services and the de-duplicated dataset. 18. The computing device of claim 14 , wherein the applying uses a meta-domain descriptor that is generated to describe structural components of the documents obtained from the clustered services independent of content included in the documents. | 0.502033 |
8,099,660 | 1 | 5 | 1. A method performed by one or more server devices, the method comprising: providing, to an entity, a first interface that includes information identifying each of a plurality of documents, the information including: access statistics, for each document of the plurality of documents, that relate to previous accesses of the document by one or more users, where the access statistics include an indication of an average number of different pages per document, of the plurality of documents, accessed per user, of the one or more users, and fields that define presentation parameters applied to each of the plurality of documents, where the presentation parameters, applied to a first document of the plurality of documents, are different than the presentation parameters applied to a second document of the plurality of documents, where the fields, for one of the plurality of documents, include: a field that allows the entity to define a quantity of content, of the one of the plurality of one or more documents, that is to be presented to a user when the user accesses the one of the plurality of documents, where the quantity is greater than zero and less than a full content of the particular document one of the plurality of documents, a field that allows the entity to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when presenting the one of the plurality of documents to the user, and least one of: a field that allows the entity to define one or more portions of the one of the plurality of documents to be provided to the user for purchase, where the one or more portions of one of the plurality of documents to be provided to the user for purchase are less than the full content of the one of the plurality of documents, or a field that allows the entity to define whether images, included in the one of the plurality of documents, are to be viewable to the user when presenting the one of the plurality of documents to the user, the providing being performed by one or more processors associated with the one or more server devices; presenting, using one or more processors associated with the one or more server devices, a second interface based on selection, by the entity, of one or more of the plurality of documents, where the second interface includes information identifying the one or more of the plurality of documents, the information identifying the one or more of the plurality of documents including the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents; receiving, from the entity and via the second interface, modifications to the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents, the receiving being performed by one or more processors associated with the one or more server devices; and applying, using one or more processors associated with the one or more server devices, the modified presentation parameters, the modified presentation parameters to the one or more of the plurality of documents. | 1. A method performed by one or more server devices, the method comprising: providing, to an entity, a first interface that includes information identifying each of a plurality of documents, the information including: access statistics, for each document of the plurality of documents, that relate to previous accesses of the document by one or more users, where the access statistics include an indication of an average number of different pages per document, of the plurality of documents, accessed per user, of the one or more users, and fields that define presentation parameters applied to each of the plurality of documents, where the presentation parameters, applied to a first document of the plurality of documents, are different than the presentation parameters applied to a second document of the plurality of documents, where the fields, for one of the plurality of documents, include: a field that allows the entity to define a quantity of content, of the one of the plurality of one or more documents, that is to be presented to a user when the user accesses the one of the plurality of documents, where the quantity is greater than zero and less than a full content of the particular document one of the plurality of documents, a field that allows the entity to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when presenting the one of the plurality of documents to the user, and least one of: a field that allows the entity to define one or more portions of the one of the plurality of documents to be provided to the user for purchase, where the one or more portions of one of the plurality of documents to be provided to the user for purchase are less than the full content of the one of the plurality of documents, or a field that allows the entity to define whether images, included in the one of the plurality of documents, are to be viewable to the user when presenting the one of the plurality of documents to the user, the providing being performed by one or more processors associated with the one or more server devices; presenting, using one or more processors associated with the one or more server devices, a second interface based on selection, by the entity, of one or more of the plurality of documents, where the second interface includes information identifying the one or more of the plurality of documents, the information identifying the one or more of the plurality of documents including the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents; receiving, from the entity and via the second interface, modifications to the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents, the receiving being performed by one or more processors associated with the one or more server devices; and applying, using one or more processors associated with the one or more server devices, the modified presentation parameters, the modified presentation parameters to the one or more of the plurality of documents. 5. The method of claim 1 , where the one or more particular advertisements, that are to be blocked when presenting the one of the plurality of documents, are identified based on one or more keywords, associated with the one or more particular advertisements, or one or more uniform resource locators (URLs), associated with the one or more particular advertisements. | 0.723982 |
10,007,965 | 1 | 3 | 1. An apparatus to manage a graphics processing unit (GPU) pipeline comprising: a GPU interconnect to receive a compiled shader, the compiled shader to comprise instructions in an executable format that are ready for execution via the GPU pipeline; a shader patcher to: determine whether one or more portions of the compiled shader can be patched in the executable format based on global constants referenced in the compiled shader having corresponding values in a global constant buffer and modified prior to execution of the compiled shader, replace references, corresponding to global constants in the compiled shader and modified prior to execution of the compiled shader, with values of the global constants from the global constant buffer to generate one or more patched portions based on an optimization goal, and replace the one or more portions of the compiled shader with the one or more patched portions based on a determination that the one or more portions of the compiled shader can be patched; and a GPU operably coupled to the GPU interconnect, the GPU to repeatedly execute the compiled shader, the shader patcher to patch the compiled shader between a first instance the GPU executes the compiled shader and a second instance the GPU executes the compiled shader. | 1. An apparatus to manage a graphics processing unit (GPU) pipeline comprising: a GPU interconnect to receive a compiled shader, the compiled shader to comprise instructions in an executable format that are ready for execution via the GPU pipeline; a shader patcher to: determine whether one or more portions of the compiled shader can be patched in the executable format based on global constants referenced in the compiled shader having corresponding values in a global constant buffer and modified prior to execution of the compiled shader, replace references, corresponding to global constants in the compiled shader and modified prior to execution of the compiled shader, with values of the global constants from the global constant buffer to generate one or more patched portions based on an optimization goal, and replace the one or more portions of the compiled shader with the one or more patched portions based on a determination that the one or more portions of the compiled shader can be patched; and a GPU operably coupled to the GPU interconnect, the GPU to repeatedly execute the compiled shader, the shader patcher to patch the compiled shader between a first instance the GPU executes the compiled shader and a second instance the GPU executes the compiled shader. 3. The apparatus of claim 1 , the shader patcher to: identify one or more conditional statements in the compiled shader; and determine whether one or more portions of the compiled shader can be patched based on the one or more identified conditional statements. | 0.610448 |
8,812,300 | 13 | 15 | 13. A computer program product for identifying related names, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable program code, when executed by a processor of a computer, is configured to perform: storing a collection of names from different languages, wherein each of the names has a native orthographic form and a romanized form; receiving an input name in a known encoding scheme; determining an alphabet of the input name based on the known encoding scheme; generating romanized names based on the input name and the determined alphabet using multiple transliteration schemas; identifying a culture associated with the input name; selecting one or more culture-sensitive regularization rules for the identified culture, wherein there are different culture-sensitive regularization rules for different cultures; applying the selected one or more culture-sensitive regularization rules to one of the romanized names to create an additional romanized name; matching the romanized names and the additional romanized name against the romanized names in the collection of names from the different languages; and returning data store records that have romanized names that match at least one of the romanized names and the additional romanized name. | 13. A computer program product for identifying related names, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable program code, when executed by a processor of a computer, is configured to perform: storing a collection of names from different languages, wherein each of the names has a native orthographic form and a romanized form; receiving an input name in a known encoding scheme; determining an alphabet of the input name based on the known encoding scheme; generating romanized names based on the input name and the determined alphabet using multiple transliteration schemas; identifying a culture associated with the input name; selecting one or more culture-sensitive regularization rules for the identified culture, wherein there are different culture-sensitive regularization rules for different cultures; applying the selected one or more culture-sensitive regularization rules to one of the romanized names to create an additional romanized name; matching the romanized names and the additional romanized name against the romanized names in the collection of names from the different languages; and returning data store records that have romanized names that match at least one of the romanized names and the additional romanized name. 15. The computer program product of claim 13 , wherein the culture-sensitive regularization rules are applied using a user-supplied cultural value. | 0.814394 |
7,996,793 | 2 | 5 | 2. The method of claim 1 , wherein a filter comprises a parameter about the gesture, further comprising: receiving from the first application a value for a parameter of the filter; and wherein determining the output from the base information about the gesture comprises: determining the output from the value of the parameter. | 2. The method of claim 1 , wherein a filter comprises a parameter about the gesture, further comprising: receiving from the first application a value for a parameter of the filter; and wherein determining the output from the base information about the gesture comprises: determining the output from the value of the parameter. 5. The method of claim 2 , wherein receiving from the first application a value for the parameter of the filter comprises: receiving third data captured by the camera, the third data corresponding to a user of the first application making a body motion or a body pose. | 0.890074 |
8,005,643 | 36 | 57 | 36. A system for measuring the distinctiveness of a result generated from a collection of information, wherein the result is comprised of elements associated with the collection of information, the system comprising: an analysis component adapted to automatically obtain a statistical distribution of at least one identifying characteristic within a result; a measurement component adapted to generate a measurement of distinctiveness for the result based on the statistical distribution of the at least one identifying characteristic; and a comparison component adapted to compare the measured statistical distribution against a baseline statistical distribution, wherein the comparison component is further adapted to determine that the compared statistical distribution exceeds a threshold for distinctiveness. | 36. A system for measuring the distinctiveness of a result generated from a collection of information, wherein the result is comprised of elements associated with the collection of information, the system comprising: an analysis component adapted to automatically obtain a statistical distribution of at least one identifying characteristic within a result; a measurement component adapted to generate a measurement of distinctiveness for the result based on the statistical distribution of the at least one identifying characteristic; and a comparison component adapted to compare the measured statistical distribution against a baseline statistical distribution, wherein the comparison component is further adapted to determine that the compared statistical distribution exceeds a threshold for distinctiveness. 57. The system according to claim 36 , wherein the act of generating a measurement of distinctiveness further comprises acts of: determining a similarity measure; and inverting the sense of the similarity measure. | 0.8296 |
8,626,911 | 14 | 20 | 14. A computer-implemented method, comprising: responsive to a present search query submitted by a user via a client-based application, returning personalized advertisements for the user from a server-based application to the client-based application, the personalized advertisements selected for return to the client-based application according to information regarding the user's interests, the personalized advertisements ranked in order of estimated user interest, the interest of the user estimated by applying identified properties of each respective one of the personalized advertisements to a user-specific learning machine to determine a probability of user interest for each respective personalized advertisement. | 14. A computer-implemented method, comprising: responsive to a present search query submitted by a user via a client-based application, returning personalized advertisements for the user from a server-based application to the client-based application, the personalized advertisements selected for return to the client-based application according to information regarding the user's interests, the personalized advertisements ranked in order of estimated user interest, the interest of the user estimated by applying identified properties of each respective one of the personalized advertisements to a user-specific learning machine to determine a probability of user interest for each respective personalized advertisement. 20. The method of claim 14 , wherein the personalized advertisements are selected according to monitored user interactions with prior search results from prior search queries. | 0.891169 |
8,775,325 | 9 | 11 | 9. The method of claim 8 , wherein the social advertisement and the plurality of stories sent to the client device comprise a feed of information provided for display. | 9. The method of claim 8 , wherein the social advertisement and the plurality of stories sent to the client device comprise a feed of information provided for display. 11. The method of claim 9 , wherein sponsorship of the story selected for display as a social advertisement accelerates display of that story relative to other stories displayed within the feed. | 0.95418 |
8,825,459 | 7 | 10 | 7. An apparatus for creating a geometric model in a computer-aided design (CAD) application executing in a computer system comprising: (a) a computer having a memory; and (b) the CAD application executing on the computer, wherein the CAD application is configured to: (i) accept direct graphical manipulation via user interaction creating the geometric model in the CAD application; (ii) capture, as the user interaction is conducted, the direct graphical manipulation, without additional user input, as one or more lines of script code as if the user is writing the script code, wherein the script code is integrated into an environment hosted by the CAD application; (iii) display the one or more lines of script code; (iv) modify the one or more lines of script code thereby automatically modifying the geometric model; and (v) modify the geometric model by accepting additional direct graphical manipulation via user interaction with the geometric model, wherein the script code is modified to reflect the modifying. | 7. An apparatus for creating a geometric model in a computer-aided design (CAD) application executing in a computer system comprising: (a) a computer having a memory; and (b) the CAD application executing on the computer, wherein the CAD application is configured to: (i) accept direct graphical manipulation via user interaction creating the geometric model in the CAD application; (ii) capture, as the user interaction is conducted, the direct graphical manipulation, without additional user input, as one or more lines of script code as if the user is writing the script code, wherein the script code is integrated into an environment hosted by the CAD application; (iii) display the one or more lines of script code; (iv) modify the one or more lines of script code thereby automatically modifying the geometric model; and (v) modify the geometric model by accepting additional direct graphical manipulation via user interaction with the geometric model, wherein the script code is modified to reflect the modifying. 10. The apparatus of claim 7 , wherein the CAD application is further configured to: generate a symbolic graph model of the geometric model as a hierarchical tree structure that is displayed in a first view; generate the symbolic graph model of the geometric model as a two-dimensional (2D) graph built on a 2D plane, wherein the 2D graph comprises one or more 2D graph nodes, and wherein the 2D graph is displayed in a separate second view; and generate the symbolic graph model of the geometric model as a 3D graph that is draped over the geometric model, wherein the 3D graph comprises one or more 3D graph nodes, and wherein each 3D graph node is placed proximate to a corresponding geometry in the geometric model. | 0.642999 |
9,495,415 | 62 | 71 | 62. A user device as recited in claim 43 wherein search results module generates search results in response to suggestion data. | 62. A user device as recited in claim 43 wherein search results module generates search results in response to suggestion data. 71. A user device as recited in claim 62 wherein the user device generates the suggestion data based on searched movie content. | 0.963838 |
8,121,904 | 22 | 29 | 22. A method of generating a customized output with a computer system to facilitate a sale of a tangible product, the method comprising: receiving via a computer system, answers to a plurality of questions related to at least one of a desired feature and a desired use by a customer of a tangible product for sale; automatically selecting by the computer system, in response to at least one of the answers, an image of the tangible product for sale, an image of an environment in which the tangible product for sale is to be used, and a text segment comprised of a description of product specifications and performances that are of particular interest to the customer; and integrating the selected images and selected text segment into a proposal for the sale of the tangible product for the customer such that a single composite customized output representing the tangible product in the environment in which the tangible product is to be used along with said text segment can be generated, wherein the single composite customized output is generated by a selection device operatively interconnected to an active database, the active database configured to electronically store customer information obtained via the answers, and operatively connected to a static database, the static database electronically storing at least one of (a) text, (b) pictures or (c) text and pictures relating to at least one product; and the computer system dynamically building a template utilizing the selection device to fill in the template to produce the composite customized output. | 22. A method of generating a customized output with a computer system to facilitate a sale of a tangible product, the method comprising: receiving via a computer system, answers to a plurality of questions related to at least one of a desired feature and a desired use by a customer of a tangible product for sale; automatically selecting by the computer system, in response to at least one of the answers, an image of the tangible product for sale, an image of an environment in which the tangible product for sale is to be used, and a text segment comprised of a description of product specifications and performances that are of particular interest to the customer; and integrating the selected images and selected text segment into a proposal for the sale of the tangible product for the customer such that a single composite customized output representing the tangible product in the environment in which the tangible product is to be used along with said text segment can be generated, wherein the single composite customized output is generated by a selection device operatively interconnected to an active database, the active database configured to electronically store customer information obtained via the answers, and operatively connected to a static database, the static database electronically storing at least one of (a) text, (b) pictures or (c) text and pictures relating to at least one product; and the computer system dynamically building a template utilizing the selection device to fill in the template to produce the composite customized output. 29. The method of claim 22 wherein the computer system stores a plurality of performance specifications related to performance of the tangible product in a variety of configurations, and the method further comprises linking at least one of the answers with one of the plurality of performance specifications for inclusion in the composite customized output. | 0.725806 |
8,745,091 | 1 | 8 | 1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories. | 1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories. 8. The method of claim 1 , wherein classifying the electronic document further comprises: using semantic analysis to provide suggestive classification for the electronic document; and allowing the user to select one of the suggestive classification, wherein updating the classification rule further comprises updating the classification rule based on the selection of the suggestive classification. | 0.677994 |
8,265,990 | 15 | 17 | 15. A tangible computer-readable medium having instructions stored thereon, the instructions comprising: instructions for determining a plurality of values for a keyword of a web page; instructions for receiving, from a user computer, a request for identification of keywords of the web page, the request comprising data associated with the user computer; instructions for determining a location of the user computer and a local time at the user computer based on the data associated with the user computer; instructions for selecting a value from among the plurality of values for the keyword that corresponds to the location of the user computer and the local time at the user; instructions for determining that the value meets a criterion; instructions for selecting the keyword responsive to determining that the value meets the criterion; instructions for determining keyword identifying information based on the value and the keyword; and instructions for transmitting, to the user computer, the keyword identifying information. | 15. A tangible computer-readable medium having instructions stored thereon, the instructions comprising: instructions for determining a plurality of values for a keyword of a web page; instructions for receiving, from a user computer, a request for identification of keywords of the web page, the request comprising data associated with the user computer; instructions for determining a location of the user computer and a local time at the user computer based on the data associated with the user computer; instructions for selecting a value from among the plurality of values for the keyword that corresponds to the location of the user computer and the local time at the user; instructions for determining that the value meets a criterion; instructions for selecting the keyword responsive to determining that the value meets the criterion; instructions for determining keyword identifying information based on the value and the keyword; and instructions for transmitting, to the user computer, the keyword identifying information. 17. The tangible computer-readable medium of claim 15 , further comprising instructions for receiving a request for content associated with a keyword from the user computer and transmitting a content identifier to the user computer. | 0.699482 |
8,260,731 | 11 | 12 | 11. An information classification method executed by an information classification apparatus that classifies information by assigning a classification identification value to the information, the method comprising the steps executed by a computer system of the information classification apparatus of: receiving classification information to be classified as a word string, and conducting language analysis of the classification information; acquiring a plurality of keywords that the classification information includes, classifying the plurality of keywords into elements made up of a classification target word and a related word that modifies the classification target word, and conducting a search with the related word being for a judgment condition for decision of the classification while separating the classification target word from the related word, so as to assign the classification identification value to the information; extracting the assigned classification identification value to generate an automatic classification result; receiving the automatic classification result, and displaying a GUI for classification confirmation allowing confirmation of correctness of the automatic classification result; and correcting registered items in a knowledge base with a correction value received through the GUI for classification confirmation while referring to log data that is a processing history about automatic classification for the language analysis and the element classification; wherein the language analysis conducting step comprises the step of extracting a plurality of keywords from the classification information while referring to a word dictionary database; and the classification identification value assigning step comprises the steps of classifying the extracted plurality of keywords into the classification target word and the related word that modifies the classification target word by referring to a classification database and when a binary condition is registered for the classification target word, prioritizing a judgment based on the binary condition. | 11. An information classification method executed by an information classification apparatus that classifies information by assigning a classification identification value to the information, the method comprising the steps executed by a computer system of the information classification apparatus of: receiving classification information to be classified as a word string, and conducting language analysis of the classification information; acquiring a plurality of keywords that the classification information includes, classifying the plurality of keywords into elements made up of a classification target word and a related word that modifies the classification target word, and conducting a search with the related word being for a judgment condition for decision of the classification while separating the classification target word from the related word, so as to assign the classification identification value to the information; extracting the assigned classification identification value to generate an automatic classification result; receiving the automatic classification result, and displaying a GUI for classification confirmation allowing confirmation of correctness of the automatic classification result; and correcting registered items in a knowledge base with a correction value received through the GUI for classification confirmation while referring to log data that is a processing history about automatic classification for the language analysis and the element classification; wherein the language analysis conducting step comprises the step of extracting a plurality of keywords from the classification information while referring to a word dictionary database; and the classification identification value assigning step comprises the steps of classifying the extracted plurality of keywords into the classification target word and the related word that modifies the classification target word by referring to a classification database and when a binary condition is registered for the classification target word, prioritizing a judgment based on the binary condition. 12. The information classification method according to claim 11 , wherein: the word dictionary database includes a morpheme keyword, an expression instability keyword, and a higher/lower level concept keyword registered therein, the classification database includes a main classification table, an auxiliary classification table, and a binary condition table registered therein, the main classification table associating the classification target word with the classification identification value, the auxiliary classification table associating the related word that modifies the classification target word with a semantic attribute, and the binary condition table associating a binary condition set for the classification identification value about the classification target word with a judgment result using the binary condition, and the registered item correcting step includes the steps of receiving correction of a reference condition for correcting a binary condition or a weighting via the GUI for classification confirmation, and updating the binary condition table with a value of the corrected binary condition or an additional attribute. | 0.52562 |
8,677,243 | 5 | 10 | 5. The method of claim 1 , further comprising: receiving inputs of mainstream/leftfield relative rankings to the primary and secondary metagenres, said mainstream/leftfield relative rankings identifying how conventionally said offering fits in a respective metagenre. | 5. The method of claim 1 , further comprising: receiving inputs of mainstream/leftfield relative rankings to the primary and secondary metagenres, said mainstream/leftfield relative rankings identifying how conventionally said offering fits in a respective metagenre. 10. The method of claim 5 , further comprising: sorting the offerings with the highest number of times that at least one of the offerings has been recommended to be at the top of the recommendation list; and incorporating the mainstream/leftfield relative rankings as a tie breaker when two of the offerings have an identical number of recommended times. | 0.920982 |
8,423,508 | 16 | 19 | 16. An access terminal, comprising: a memory; and at least one processor coupled to the memory, wherein the at least one processor is configured with processor-executable instructions so the access terminal performs operations comprising: obtaining a plurality of terminal data representing a current operating environment of the access terminal from a plurality of access terminal subsystems, one or more terminal applications, or a combination of both; storing the plurality of terminal data obtained over time in a historical database; determining at least one context corresponding to a portion of the plurality of terminal data by: receiving a user input on the access terminal at a first time that defines the respective context identifier, recognizing a relationship between the plurality of terminal data obtained at the first time and the plurality of terminal data in the historical database, identifying the portion of the plurality of terminal data corresponding to the context based on the recognized relationship, and associating the portion of the plurality of terminal data with the respective context identifier; creating a context profile having a context identifier identifying each context, wherein each context profile comprises profile parameters corresponding to the respective portion of the plurality of terminal data determined to correspond to the respective context; and storing each context profile in the memory. | 16. An access terminal, comprising: a memory; and at least one processor coupled to the memory, wherein the at least one processor is configured with processor-executable instructions so the access terminal performs operations comprising: obtaining a plurality of terminal data representing a current operating environment of the access terminal from a plurality of access terminal subsystems, one or more terminal applications, or a combination of both; storing the plurality of terminal data obtained over time in a historical database; determining at least one context corresponding to a portion of the plurality of terminal data by: receiving a user input on the access terminal at a first time that defines the respective context identifier, recognizing a relationship between the plurality of terminal data obtained at the first time and the plurality of terminal data in the historical database, identifying the portion of the plurality of terminal data corresponding to the context based on the recognized relationship, and associating the portion of the plurality of terminal data with the respective context identifier; creating a context profile having a context identifier identifying each context, wherein each context profile comprises profile parameters corresponding to the respective portion of the plurality of terminal data determined to correspond to the respective context; and storing each context profile in the memory. 19. The access terminal of claim 16 , wherein the at least one processor is further configured with processor-executable instructions to recognize the relationship by correlating terminal data from a single one of the plurality of subsystems. | 0.75154 |
8,589,331 | 1 | 4 | 1. A computer readable non-transitory storage medium embodying instructions executed by a plurality of processors for predictive analytics in a semi-structured business process, the method comprising: receiving execution traces generated by one or more computer system elements generated during the execution of a plurality of tasks of the semi-structured business process, wherein an outcome of the execution of each of the plurality of tasks is dependent upon one or more documents containing document content values, at least one of the execution traces including the document content value, wherein the document content value influenced the execution of the plurality of tasks; determining a process model from the execution traces, the process model comprising tasks at nodes of the semi-structured business process, wherein the determined process model includes all possible execution sequences of the semi-structured business process; determining a probabilistic graph including a probability, at each of the tasks of the semi-structured business process, for advancing to each of the other tasks of the semi-structured business process, wherein the probability is influenced by the document content value; and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between each and every task of the semi-structured business process. | 1. A computer readable non-transitory storage medium embodying instructions executed by a plurality of processors for predictive analytics in a semi-structured business process, the method comprising: receiving execution traces generated by one or more computer system elements generated during the execution of a plurality of tasks of the semi-structured business process, wherein an outcome of the execution of each of the plurality of tasks is dependent upon one or more documents containing document content values, at least one of the execution traces including the document content value, wherein the document content value influenced the execution of the plurality of tasks; determining a process model from the execution traces, the process model comprising tasks at nodes of the semi-structured business process, wherein the determined process model includes all possible execution sequences of the semi-structured business process; determining a probabilistic graph including a probability, at each of the tasks of the semi-structured business process, for advancing to each of the other tasks of the semi-structured business process, wherein the probability is influenced by the document content value; and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between each and every task of the semi-structured business process. 4. The computer readable storage medium of claim 1 , wherein the process model identifies loops in the semi-structured business process. | 0.937557 |
7,917,478 | 16 | 17 | 16. A database stored in a recordable-type medium, wherein the database is related to identification of a cause of an outcome in a healthcare setting, the database comprising: a plurality of divergent data stored in a data structure on the recordable-type medium, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data specifying cohorts associated with the corresponding datum, data specifying hierarchies associated with the corresponding datum, data specifying representing a corresponding source of the datum, and data specifying probabilities associated with integrity, reliability, and importance of each associated datum; computer usable program code for establishing a fact related to the healthcare setting, wherein the fact further relates to a network of interactions associated with the outcome, received in a query, as a frame of reference for the query; computer usable program code for applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; computer usable program code for executing the query to create a probability of a first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and computer usable program code for storing the probability of the first inference. | 16. A database stored in a recordable-type medium, wherein the database is related to identification of a cause of an outcome in a healthcare setting, the database comprising: a plurality of divergent data stored in a data structure on the recordable-type medium, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data specifying cohorts associated with the corresponding datum, data specifying hierarchies associated with the corresponding datum, data specifying representing a corresponding source of the datum, and data specifying probabilities associated with integrity, reliability, and importance of each associated datum; computer usable program code for establishing a fact related to the healthcare setting, wherein the fact further relates to a network of interactions associated with the outcome, received in a query, as a frame of reference for the query; computer usable program code for applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; computer usable program code for executing the query to create a probability of a first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and computer usable program code for storing the probability of the first inference. 17. The database of claim 16 wherein the outcome is an undesirable outcome and wherein the cause is a root cause of the undesirable outcome. | 0.941812 |
8,224,804 | 1 | 11 | 1. A method for indexing and searching for resources, the method comprising: storing, by a computing system, an index comprising a plurality of index entries, the index entries partitioned among a plurality of index partitions, each index partition in the plurality of index partitions associated with at least one website in a plurality of websites; for each given website in the plurality of websites: automatically updating, by the computing system, the index such that a given index partition in the plurality of index partitions comprises index entries that map terms in a first set of terms to web pages in the given website that contain terms in the first set of terms, the given website associated with the given index partition; automatically obtaining, by the computing system, a set of external partition identifiers, each external partition identifier in the set of external partition identifiers identifying external partitions of external data sources used by the given website, wherein automatically obtaining the set of external partition identifiers comprises: sending, by the computing system, a service request to a website proxy associated with the given website; and receiving, at the computing system, a service response from the website proxy, the service response comprising the set of external partition identifiers wherein the website proxy implements an application programming interface (API) that includes a first method and a second method and wherein sending the service request comprises, invoking, by a search proxy in the computing system, the first method and the second method, wherein invoking the first method comprises returning a list of references to each of the plurality of web pages in the given website, wherein invoking the second method comprises returning a copy of each of the plurality of web pages in the given website indicated in the list of references; and for each given external partition identifier in the set of external partition identifiers, automatically updating, by the computing system, the index such that the given index partition comprises index entries that map terms in a second set of terms to external resources in the given set of external resources that contain terms in the second set of terms, a given external partition identified by the given external partition identifier containing the given set of external resources; receiving, by the computing system, a query request from a client, the query request specifying a query term, the query request indicating a target website; and in response to receiving the query request: automatically identifying, by the computing system, a target index partition in the plurality of index partitions, the target website associated with the target index partition; automatically using, by the computing system, index entries in the target index partition to identify a relevant set of resources, each resource in the relevant set of resources containing the query term; and providing, by the computing system, a relevant set of resource identifiers to the client, each resource identifier in the relevant set of resource identifiers identifying a resource in the relevant set of resources. | 1. A method for indexing and searching for resources, the method comprising: storing, by a computing system, an index comprising a plurality of index entries, the index entries partitioned among a plurality of index partitions, each index partition in the plurality of index partitions associated with at least one website in a plurality of websites; for each given website in the plurality of websites: automatically updating, by the computing system, the index such that a given index partition in the plurality of index partitions comprises index entries that map terms in a first set of terms to web pages in the given website that contain terms in the first set of terms, the given website associated with the given index partition; automatically obtaining, by the computing system, a set of external partition identifiers, each external partition identifier in the set of external partition identifiers identifying external partitions of external data sources used by the given website, wherein automatically obtaining the set of external partition identifiers comprises: sending, by the computing system, a service request to a website proxy associated with the given website; and receiving, at the computing system, a service response from the website proxy, the service response comprising the set of external partition identifiers wherein the website proxy implements an application programming interface (API) that includes a first method and a second method and wherein sending the service request comprises, invoking, by a search proxy in the computing system, the first method and the second method, wherein invoking the first method comprises returning a list of references to each of the plurality of web pages in the given website, wherein invoking the second method comprises returning a copy of each of the plurality of web pages in the given website indicated in the list of references; and for each given external partition identifier in the set of external partition identifiers, automatically updating, by the computing system, the index such that the given index partition comprises index entries that map terms in a second set of terms to external resources in the given set of external resources that contain terms in the second set of terms, a given external partition identified by the given external partition identifier containing the given set of external resources; receiving, by the computing system, a query request from a client, the query request specifying a query term, the query request indicating a target website; and in response to receiving the query request: automatically identifying, by the computing system, a target index partition in the plurality of index partitions, the target website associated with the target index partition; automatically using, by the computing system, index entries in the target index partition to identify a relevant set of resources, each resource in the relevant set of resources containing the query term; and providing, by the computing system, a relevant set of resource identifiers to the client, each resource identifier in the relevant set of resource identifiers identifying a resource in the relevant set of resources. 11. The method of claim 1 , wherein at least one website in the plurality of websites is managed by a tenant. | 0.960678 |
9,111,151 | 22 | 23 | 22. The routing method according to claim 20 , wherein the target address is modified according to a differential value between the length of the routing string and the addressing string length. | 22. The routing method according to claim 20 , wherein the target address is modified according to a differential value between the length of the routing string and the addressing string length. 23. The routing method according to claim 22 , wherein the first L words present of {D1˜DL} associated with the target addresses of the cloned packet are modified to be {D1˜DL−jZ1,1˜Z1,j}, {D1˜DL−jZ2,1˜Z2,j}, . . . , and {D1˜DL−jZD−1,1˜ZD−1,j}, wherein the words Zx,1˜Zx,j are the same word, the words Z1,1˜ZD−1,1 are different from each other, and x is an integer from 1 through D−1; and the (L+1)th words of cloned routing strings are modified to be Z1,1˜ZD−1,1 respectively. | 0.823985 |
9,870,468 | 5 | 6 | 5. The method of claim 3 , wherein when a portion of code operating in the first sandbox references the conflicting name, a value associated with the first application property is accessed; and wherein when the portion of code operating outside of the first sandbox references the conflicting name, a value associated with the invisible framework property is accessed. | 5. The method of claim 3 , wherein when a portion of code operating in the first sandbox references the conflicting name, a value associated with the first application property is accessed; and wherein when the portion of code operating outside of the first sandbox references the conflicting name, a value associated with the invisible framework property is accessed. 6. The method of claim 5 , wherein the first application property is invisible to the environment outside of the first sandbox. | 0.947477 |
7,665,120 | 5 | 8 | 5. At a computer system in a Web Services environment, a computer program product for implementing a method of presenting a user with an easily understandable visual representation summarizing selected criteria of a yet to be generated Web Service policy by utilizing a wizard type tool, which abstracts the user from code used to satisfy the policy, the computer program product comprising one or more computer readable storage media having stored thereon computer executable instructions that, when executed by a processor, can cause the computer system to perform the following: present a set of multiple Web Service policy options to a user at a user interface, which abstracts the user from any specific code that will be generated for a policy document that satisfies one or more of the set of Web Service policy options; receive user input selecting multiple desired criteria from the set of Web Service policy options; after receipt of user input selecting a first desired criteria, and based thereon, generate a graphical model including one or more keywords or symbols representing the first desired criteria after receipt of the user input selecting the first desired criteria for the policy document, present the graphical model representing the first desired criteria for the policy to the user at the user interface for providing a visual recap of the policy document, which policy document is yet to be generated; after receipt of user input selecting a second desired criteria, and based thereon, modify the graphical model to include one or more keywords or symbols representing the first and second desired criteria; and after receipt of all the user input selecting desired criteria for the policy document, present the graphical model representing all of the desired criteria for the policy document to the user at the user interface for providing a visual recap of the policy document that is yet to be generated, and wherein modification of the graphical model, and display of the modified graphical model, is subsequently performed following selection of each desired criteria to display a summary of all selected desired criteria in a single visual recap, and before generation of the policy document. | 5. At a computer system in a Web Services environment, a computer program product for implementing a method of presenting a user with an easily understandable visual representation summarizing selected criteria of a yet to be generated Web Service policy by utilizing a wizard type tool, which abstracts the user from code used to satisfy the policy, the computer program product comprising one or more computer readable storage media having stored thereon computer executable instructions that, when executed by a processor, can cause the computer system to perform the following: present a set of multiple Web Service policy options to a user at a user interface, which abstracts the user from any specific code that will be generated for a policy document that satisfies one or more of the set of Web Service policy options; receive user input selecting multiple desired criteria from the set of Web Service policy options; after receipt of user input selecting a first desired criteria, and based thereon, generate a graphical model including one or more keywords or symbols representing the first desired criteria after receipt of the user input selecting the first desired criteria for the policy document, present the graphical model representing the first desired criteria for the policy to the user at the user interface for providing a visual recap of the policy document, which policy document is yet to be generated; after receipt of user input selecting a second desired criteria, and based thereon, modify the graphical model to include one or more keywords or symbols representing the first and second desired criteria; and after receipt of all the user input selecting desired criteria for the policy document, present the graphical model representing all of the desired criteria for the policy document to the user at the user interface for providing a visual recap of the policy document that is yet to be generated, and wherein modification of the graphical model, and display of the modified graphical model, is subsequently performed following selection of each desired criteria to display a summary of all selected desired criteria in a single visual recap, and before generation of the policy document. 8. The computer program product of claim 5 , wherein the computer executable instructions, when executed by a processor, can further cause the messaging system to: generate the policy document after presenting to the user the graphical model representing all of the desired criteria selected by the user. | 0.614213 |
9,069,814 | 8 | 14 | 8. A system comprising one or more computing devices configured to: prompt, via an NL query interface, a first user to submit a natural language (NL) query; receive the NL query via the NL query interface, the NL query having first query parameters; generate a user interface application according to the NL query, wherein the user interface application is operable separately from the NL query interface and is configured to prompt the first user or a second user to provide second query parameters via the generated user interface application, the second query parameters specifying a second query related to the NL query, and the second query parameters different than the first query parameters, receive the second query parameters via the generated user interface application, generate a computer-generated query based on the NL query and the received second query parameters, provide the computer-generated query to an NL query answering system, receive answer information from the NL query answering system in response to the computer-generated query, and cause a display device to display a portion of the answer information. | 8. A system comprising one or more computing devices configured to: prompt, via an NL query interface, a first user to submit a natural language (NL) query; receive the NL query via the NL query interface, the NL query having first query parameters; generate a user interface application according to the NL query, wherein the user interface application is operable separately from the NL query interface and is configured to prompt the first user or a second user to provide second query parameters via the generated user interface application, the second query parameters specifying a second query related to the NL query, and the second query parameters different than the first query parameters, receive the second query parameters via the generated user interface application, generate a computer-generated query based on the NL query and the received second query parameters, provide the computer-generated query to an NL query answering system, receive answer information from the NL query answering system in response to the computer-generated query, and cause a display device to display a portion of the answer information. 14. The system of claim 8 , wherein the one or more computing devices are configured to: generate a sample display layout for the user interface application; prompt the first user to modify the sample display layout; wherein the user interface application is generated so that the user interface application is configured to have a display layout that corresponds to the sample display layout modified according to modifications from the first user, if any. | 0.696547 |
8,560,468 | 17 | 18 | 17. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a collection of facts, each fact represented as an entity-attribute-value tuple; identifying expected values for one or more individual attributes, where the identifying expected values includes, for each particular attribute: identifying facts having the attribute, calculating a value score for facts of the collection of facts having the particular attribute for each particular value, calculating a global score for all facts of the collection having the attribute, and comparing the value score to the global score such that a value is identified as an expected value if the comparison satisfies a specified threshold. | 17. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a collection of facts, each fact represented as an entity-attribute-value tuple; identifying expected values for one or more individual attributes, where the identifying expected values includes, for each particular attribute: identifying facts having the attribute, calculating a value score for facts of the collection of facts having the particular attribute for each particular value, calculating a global score for all facts of the collection having the attribute, and comparing the value score to the global score such that a value is identified as an expected value if the comparison satisfies a specified threshold. 18. The computer storage medium of claim 17 , where calculating the value score includes: identifying a source and confidence for each fact having the particular value; and calculating a score as a function of a sum of confidences for each source and a sum of all confidences. | 0.806723 |
9,111,457 | 1 | 2 | 1. A computer-implemented method comprising: determining a user selected portion of a text communication selected on a first computing device, wherein the text communication includes visible text and wherein the user selected portion of the text communication is the visible text; providing at the first computing device, in real-time during a text communication session between the first computing device and a second computing device, a user selectable voice prompt that allows the user to record a pronunciation of the user selected portion of the visible text in the text communication, wherein the pronunciation of the user selected portion of the visible text in the text communication is recorded in real-time at the first computing device where the user selected portion of the visible text in the text communication is selected by the user; associating the recorded pronunciation of the visible text in the text communication with the user selected portion of the visible text in the text communication; transmitting both the visible text in the text communication and the recorded pronunciation of the user selected portion of the visible text in the text communication to a second computing device; and displaying at the first computing device and the second computing device simultaneously, a visual indicator relating to the user selected portion of the visible text in the text communication and the recorded pronunciation that facilitates the use of the recorded pronunciation. | 1. A computer-implemented method comprising: determining a user selected portion of a text communication selected on a first computing device, wherein the text communication includes visible text and wherein the user selected portion of the text communication is the visible text; providing at the first computing device, in real-time during a text communication session between the first computing device and a second computing device, a user selectable voice prompt that allows the user to record a pronunciation of the user selected portion of the visible text in the text communication, wherein the pronunciation of the user selected portion of the visible text in the text communication is recorded in real-time at the first computing device where the user selected portion of the visible text in the text communication is selected by the user; associating the recorded pronunciation of the visible text in the text communication with the user selected portion of the visible text in the text communication; transmitting both the visible text in the text communication and the recorded pronunciation of the user selected portion of the visible text in the text communication to a second computing device; and displaying at the first computing device and the second computing device simultaneously, a visual indicator relating to the user selected portion of the visible text in the text communication and the recorded pronunciation that facilitates the use of the recorded pronunciation. 2. The method of claim 1 further comprising: playing the recorded pronunciation based upon, at least in part, an input received from at least one of the first computing device and the second computing device. | 0.916399 |
8,286,185 | 5 | 6 | 5. The method of claim 1 , wherein the object embedding program includes links to a plurality of different pages of network-based information and each of the different pages of network-based information includes a link to a different script program. | 5. The method of claim 1 , wherein the object embedding program includes links to a plurality of different pages of network-based information and each of the different pages of network-based information includes a link to a different script program. 6. The method of claim 5 , wherein at least one of the different script programs is specific to stock market information. | 0.950041 |
8,145,493 | 1 | 6 | 1. A method of establishing a preferred mode of interaction between a user and a multimodal application, the method comprising: evaluating, with at least one processor of a multimodal device comprising a multimodal application supporting multiple modes of interaction including a voice mode and one or more non-voice modes, a user modal preference, wherein evaluating the user modal preference comprises determining a modal coefficient value based, at least in part, on one or more modes of interaction used by the user in at least one previous interaction with a plurality of voice-enabled and/or non-voice enabled data entry fields presented by the multimodal application and evaluating the user modal preference based, at least in part, on the modal coefficient value; and dynamically configuring, with the at least one processor, multimodal content of the multimodal application in dependence on the user modal preference; wherein the multimodal application comprises a plurality of static markup documents, wherein the plurality of static markup documents comprises documents having different proportions of support for voice mode and non-voice modes; wherein dynamically configuring multimodal content of the multimodal application further comprises selecting from among the plurality of static markup documents, in dependence upon the value of the user modal preference, a markup document for presentation to a user as part of the multimodal application. | 1. A method of establishing a preferred mode of interaction between a user and a multimodal application, the method comprising: evaluating, with at least one processor of a multimodal device comprising a multimodal application supporting multiple modes of interaction including a voice mode and one or more non-voice modes, a user modal preference, wherein evaluating the user modal preference comprises determining a modal coefficient value based, at least in part, on one or more modes of interaction used by the user in at least one previous interaction with a plurality of voice-enabled and/or non-voice enabled data entry fields presented by the multimodal application and evaluating the user modal preference based, at least in part, on the modal coefficient value; and dynamically configuring, with the at least one processor, multimodal content of the multimodal application in dependence on the user modal preference; wherein the multimodal application comprises a plurality of static markup documents, wherein the plurality of static markup documents comprises documents having different proportions of support for voice mode and non-voice modes; wherein dynamically configuring multimodal content of the multimodal application further comprises selecting from among the plurality of static markup documents, in dependence upon the value of the user modal preference, a markup document for presentation to a user as part of the multimodal application. 6. The method of claim 1 , further comprising: receiving a configuration value indicating the user modal preference; and storing the configuration value; wherein evaluating the user modal preference comprises retrieving the stored configuration value. | 0.868172 |
6,088,671 | 6 | 7 | 6. The method of claim 1 further including biasing, the designating in favor of the recognized speech element being a text element or a command element. | 6. The method of claim 1 further including biasing, the designating in favor of the recognized speech element being a text element or a command element. 7. The method of claim 6 in which the biasing includes determining if the recognized speech element reflects a command reject. | 0.925708 |
8,190,594 | 1 | 3 | 1. A method of indexing online references of an entity, the method comprising: identifying an entity, wherein the entity is an individual, corporation, brand, or product; crawling the Internet for online references to the entity after identifying the entity, wherein crawling the Internet comprises: querying a first search engine for a first search results page using a keyword; parsing the first search result pages into organic search results; identifying an organic online reference to the entity based on the organic search results; parsing the organic search results to identify one or more organic signals that include information about the organic online reference to the entity; searching social networks for social network search results that refer to the entity; identifying a social online reference to the entity based on the social network search results; parsing the social network search results to identify one or more social signals that include information about the social online reference to the entity; evaluating the social signals and organic signals; and constructing, using a processor, a reverse index of the online references based on the evaluated social signals and the evaluated organic signals. | 1. A method of indexing online references of an entity, the method comprising: identifying an entity, wherein the entity is an individual, corporation, brand, or product; crawling the Internet for online references to the entity after identifying the entity, wherein crawling the Internet comprises: querying a first search engine for a first search results page using a keyword; parsing the first search result pages into organic search results; identifying an organic online reference to the entity based on the organic search results; parsing the organic search results to identify one or more organic signals that include information about the organic online reference to the entity; searching social networks for social network search results that refer to the entity; identifying a social online reference to the entity based on the social network search results; parsing the social network search results to identify one or more social signals that include information about the social online reference to the entity; evaluating the social signals and organic signals; and constructing, using a processor, a reverse index of the online references based on the evaluated social signals and the evaluated organic signals. 3. The method of claim 1 , wherein the reverse index lists the social online reference and the organic online reference. | 0.707317 |
8,301,437 | 22 | 23 | 22. A computer program product comprising a computer-readable storage device having computer program logic recorded thereon, which, when executed by a processing unit, performs operations to tokenize a character string, the operations comprising: populating a dictionary with words and phrases included in a set of search queries submitted by users of one or more information retrieval systems over a first predetermined time period; and identifying one or more series of characters within the character string that match a word or phrase populated within the dictionary, wherein the character string comprises a non-delimited character string; and designating the identified one or more series of characters within the character string that match a word or phrase populated within the dictionary as a token associated with the character string. | 22. A computer program product comprising a computer-readable storage device having computer program logic recorded thereon, which, when executed by a processing unit, performs operations to tokenize a character string, the operations comprising: populating a dictionary with words and phrases included in a set of search queries submitted by users of one or more information retrieval systems over a first predetermined time period; and identifying one or more series of characters within the character string that match a word or phrase populated within the dictionary, wherein the character string comprises a non-delimited character string; and designating the identified one or more series of characters within the character string that match a word or phrase populated within the dictionary as a token associated with the character string. 23. The computer program product of claim 22 , wherein the operations further comprise: periodically updating the dictionary with words and phrases included in additional sets of search queries submitted by users of the one or more information retrieval systems over predetermined time periods that are subsequent to the first predetermined time period. | 0.890915 |
4,797,930 | 6 | 7 | 6. A speech producing apparatus as claimed in claim 5, wherein: said syllable classification means classifies said syllables into one of four differing types, firstly those having unvoiced initial consonant phonological linguistic unit indicia and having unvoiced final consonant phonological linguistic unit indicia, secondly those having unvoiced initial consonant phonological linguistic unit indicia and having no unvoiced final consonant phonological linguistic unit indicia, thirdly those having no unvoiced initial consonant phonological linguistic indicia and having unvoiced final consonant phonological linguistic unit indicia and fourthly those having no unvoiced initial consonant phonological linguistic unit indicia and no unvoiced final consonant phonological linguistic unit indicia. | 6. A speech producing apparatus as claimed in claim 5, wherein: said syllable classification means classifies said syllables into one of four differing types, firstly those having unvoiced initial consonant phonological linguistic unit indicia and having unvoiced final consonant phonological linguistic unit indicia, secondly those having unvoiced initial consonant phonological linguistic unit indicia and having no unvoiced final consonant phonological linguistic unit indicia, thirdly those having no unvoiced initial consonant phonological linguistic indicia and having unvoiced final consonant phonological linguistic unit indicia and fourthly those having no unvoiced initial consonant phonological linguistic unit indicia and no unvoiced final consonant phonological linguistic unit indicia. 7. A speech producing apparatus as claimed in claim 6, wherein: said control means further includes a falling mode primary accent pitch pattern assignment means for assigning to the primary accent syllable a pitch pattern steeply declining in frequency if the primary accent falls on a syllable which is the only syllable, for assigning to the primary accent syllable a pitch pattern moderately declining in frequency if the primary accent falls on the last of a plurality of syllables and for assigning to the primary accent syllable a pitch pattern only slightly declining in frequency if the primary accent falls on an intermediate syllable of a plurality of syllables, whenever said rise/fall indicia indicates a falling mode. | 0.73589 |
9,330,119 | 15 | 19 | 15. A computer-implemented method comprising: identifying a first partition of data with a fact category, a second partition of data with an information category, a third partition of data with a hypothesis category, and a fourth partition of data with a directive category; identifying a first partition of transformative actions with a classification category, a second partition of transformative actions with an assessment category, a third partition of transformative actions with a resolution category, and a fourth partition of transformative actions with an enactment category; invoking a first action to produce a second set of data from the information category; invoking a second action to produce a third set of data from the hypothesis category; invoking a third action to produce a fourth set of data from the directive category; invoking a fourth action to produce a fifth set of data from the fact category; invoking a classification action on a first set of facts to produce a first set of information; invoking an assessment action on the first set of information to produce a first set of hypotheses; invoking a resolution action on the first set of hypotheses to produce a first set of directives; invoking an enactment action on the first set of directives to modify system behavior and to produce a second set of facts that differs from the first set of facts; wherein invoking the classification action comprises applying a set of functions that maps a particular feature vector to an observation, a prediction, a norm, or an objective in the first set of information; and wherein the particular feature vector is a vector that includes a feature object. | 15. A computer-implemented method comprising: identifying a first partition of data with a fact category, a second partition of data with an information category, a third partition of data with a hypothesis category, and a fourth partition of data with a directive category; identifying a first partition of transformative actions with a classification category, a second partition of transformative actions with an assessment category, a third partition of transformative actions with a resolution category, and a fourth partition of transformative actions with an enactment category; invoking a first action to produce a second set of data from the information category; invoking a second action to produce a third set of data from the hypothesis category; invoking a third action to produce a fourth set of data from the directive category; invoking a fourth action to produce a fifth set of data from the fact category; invoking a classification action on a first set of facts to produce a first set of information; invoking an assessment action on the first set of information to produce a first set of hypotheses; invoking a resolution action on the first set of hypotheses to produce a first set of directives; invoking an enactment action on the first set of directives to modify system behavior and to produce a second set of facts that differs from the first set of facts; wherein invoking the classification action comprises applying a set of functions that maps a particular feature vector to an observation, a prediction, a norm, or an objective in the first set of information; and wherein the particular feature vector is a vector that includes a feature object. 19. The method of claim 15 , further comprising: applying a profile vector for a particular actor to a classification function on which the classification action is based; applying the profile vector for the particular actor to an assessment function on which the assessment action is based; applying the profile vector for the particular actor to a resolution function on which the resolution action is based; applying the profile vector for the particular actor to an enactment function on which the enactment action is based; wherein the profile vector includes values derived from tacit knowledge, a social network, and specified preferences. | 0.65565 |
7,721,241 | 4 | 5 | 4. The method of claim 3 , further comprising retrieving characteristic data from the metadata text file and inserting the characteristic data into the opened electronic document, the characteristic data comprising performance characteristics of the components of the transformer. | 4. The method of claim 3 , further comprising retrieving characteristic data from the metadata text file and inserting the characteristic data into the opened electronic document, the characteristic data comprising performance characteristics of the components of the transformer. 5. The method of claim 4 , wherein the characteristic data is inserted into the opened document in predetermined locations. | 0.932787 |
9,666,192 | 1 | 12 | 1. A computing device including a speech-enabled application installed thereon, the computing device comprising: an input interface configured to receive first audio comprising speech from a user of the computing device; an automatic speech recognition (ASR) engine configured to: detect based, at least in part, on a threshold time for endpointing, an end of speech in the first audio; and generate a first ASR result based, at least in part, on a portion of the first audio prior to the detected end of speech; and at least one processor programmed to: determine whether a valid action can be performed by the speech-enabled application using the first ASR result; instruct the ASR engine to process second audio when it is determined that a valid action cannot be performed by the speech-enabled application using the first ASR result; create a first hint based, at least in part, on the first ASR result, wherein the first hint prompts the user for speech input corresponding to a valid action that can be performed by the speech-enabled application; and present the first hint via a user interface of the computing device. | 1. A computing device including a speech-enabled application installed thereon, the computing device comprising: an input interface configured to receive first audio comprising speech from a user of the computing device; an automatic speech recognition (ASR) engine configured to: detect based, at least in part, on a threshold time for endpointing, an end of speech in the first audio; and generate a first ASR result based, at least in part, on a portion of the first audio prior to the detected end of speech; and at least one processor programmed to: determine whether a valid action can be performed by the speech-enabled application using the first ASR result; instruct the ASR engine to process second audio when it is determined that a valid action cannot be performed by the speech-enabled application using the first ASR result; create a first hint based, at least in part, on the first ASR result, wherein the first hint prompts the user for speech input corresponding to a valid action that can be performed by the speech-enabled application; and present the first hint via a user interface of the computing device. 12. The computing device of claim 1 , wherein presenting the first hint via the user interface comprises visually displaying the first hint on the user interface, and wherein the first hint hints of additional information to supplement the first audio to perform the valid action. | 0.876977 |
8,332,864 | 26 | 28 | 26. The one or more non-transitory computer-readable media of claim 15 , wherein the first and second business logic is executed via a web-based transport protocol. | 26. The one or more non-transitory computer-readable media of claim 15 , wherein the first and second business logic is executed via a web-based transport protocol. 28. The one or more non-transitory computer-readable media of claim 26 , wherein the web-based transport protocol is HTTPS. | 0.961369 |
7,836,425 | 1 | 9 | 1. A computer readable storage medium containing instructions for implementing a source code generator comprising: an interface configured to receive a user-specification of at least one spreadsheet that includes spreadsheet data for which source code is to be generated; a data acquisition interface configured to receive the spreadsheet data; a parser configured to extract information from the spreadsheet data received by the data acquisition interface and identify at least one formula included in the spreadsheet data, the at least one formula comprising at least one function; an information processor configured to perform a data transformation of the information extracted by the parser into source code representative of the spreadsheet data, the information processor being further operative to transform the at least one identified formula into source code representative thereof, the source code representative of the identified formula being operative to call at least one function from a library of available functions representative of available spreadsheet functions; and wherein the source code representative of the spreadsheet data represents the general data and behavior aspects of the at least one spreadsheet at runtime. | 1. A computer readable storage medium containing instructions for implementing a source code generator comprising: an interface configured to receive a user-specification of at least one spreadsheet that includes spreadsheet data for which source code is to be generated; a data acquisition interface configured to receive the spreadsheet data; a parser configured to extract information from the spreadsheet data received by the data acquisition interface and identify at least one formula included in the spreadsheet data, the at least one formula comprising at least one function; an information processor configured to perform a data transformation of the information extracted by the parser into source code representative of the spreadsheet data, the information processor being further operative to transform the at least one identified formula into source code representative thereof, the source code representative of the identified formula being operative to call at least one function from a library of available functions representative of available spreadsheet functions; and wherein the source code representative of the spreadsheet data represents the general data and behavior aspects of the at least one spreadsheet at runtime. 9. The computer readable storage medium as in claim 1 , where said source code comprises a grammar specifying a computer-executable language. | 0.756055 |
8,719,026 | 11 | 16 | 11. A system for providing a natural language voice user interface, comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a natural language utterance from an input device associated with a navigation device, wherein the natural language utterance relates to navigation; determine a current location of the navigation device; select, from among a plurality of sets of location-specific grammar information, a set of location-specific grammar information based on proximity between the current location and a location associated with the set of location-specific grammar information; determine an amount of available resources for processing the natural language utterance; determine a size threshold for a recognition grammar based on the amount of available resources; generate the recognition grammar with the set of location-specific grammar information based on the size threshold such that a size of the recognition grammar does not exceed the size threshold; determine one or more interpretations of the natural language utterance based on the recognition grammar; determine, based on the one or more interpretations, a destination; and determine a route from the current location to the destination. | 11. A system for providing a natural language voice user interface, comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a natural language utterance from an input device associated with a navigation device, wherein the natural language utterance relates to navigation; determine a current location of the navigation device; select, from among a plurality of sets of location-specific grammar information, a set of location-specific grammar information based on proximity between the current location and a location associated with the set of location-specific grammar information; determine an amount of available resources for processing the natural language utterance; determine a size threshold for a recognition grammar based on the amount of available resources; generate the recognition grammar with the set of location-specific grammar information based on the size threshold such that a size of the recognition grammar does not exceed the size threshold; determine one or more interpretations of the natural language utterance based on the recognition grammar; determine, based on the one or more interpretations, a destination; and determine a route from the current location to the destination. 16. The system of claim 11 , wherein generating the recognition grammar comprises loading at least a portion of the set of location-specific grammar information. | 0.916407 |
6,167,409 | 77 | 80 | 77. The computer system of claim 76, wherein the document is a digital document having fixed text content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements providing an indication of structure of the digital document. | 77. The computer system of claim 76, wherein the document is a digital document having fixed text content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements providing an indication of structure of the digital document. 80. The computer system of claim 77, wherein: the document is defined in a first markup language, and the digital form is defined in a second markup language; the system further includes a table accessing component which provides access to a mapping table which defines how to map elements in the first markup language to elements in the second markup language; and the data processing component includes a data converting component which receives the selected portion of the document in a first markup language at an input and produces the selected portion in a second markup language at an output, the data converting component using the mapping table. | 0.772443 |
7,831,688 | 13 | 14 | 13. A system, comprising: a processor; and a non-transitory computer accessible storage medium storing program logic operative for implementing: a question module configured to receive at least one question from a computer executed application; a context/category module configured to identify at least one category mapped to a context in which the at least one question is submitted, wherein the context comprises one or more of: a location, within a particular website or particular information source, from which the question is submitted; or information about a system from which the question is submitted; wherein the question module is further configured to: retrieve results for the at least one question, wherein the at least one category and the at least one question are both used to retrieve the results; based on the results, determine whether the at least one question is an answered question or an unanswered question; in response to determining that the at least one question is an answered question: use a knowledge module to compose an answer to the at least one question, wherein the knowledge module is configured to identify the answer to the at least one question based on the at least one category; return the answer in response to the question; and use a tracking module to store the answered question in association with tracking data for the answered question, wherein the tracking data indicates that the answered question was answered; and in response to determining that the at least one question is an unanswered question: use the tracking module to store the unanswered question in association with tracking data for the unanswered question, wherein the tracking data indicates that the unanswered question was not answered; a statistics module configured to identify one or more frequently asked unanswered questions; an authoring module configured to display the one or more frequently asked unanswered questions and receive answer data for the one or more frequently asked unanswered questions; wherein the statistics module is further configured to provide a question and answer pair based on a most frequently asked question associated with the at least one category; a suggestion module configured to provide the question and answer pair in response to a request for assistance; wherein for each one of a plurality of requests, based on a request type of the one of the plurality of requests, the program logic is configured to select one of the question module, the suggestion module, or the authoring module to handle the one of the plurality of requests; and wherein the context/category module, the knowledge module, the statistics module, and the tracking module are each used by one or more of the question module, the suggestion module, or the authoring module in handling the plurality of requests. | 13. A system, comprising: a processor; and a non-transitory computer accessible storage medium storing program logic operative for implementing: a question module configured to receive at least one question from a computer executed application; a context/category module configured to identify at least one category mapped to a context in which the at least one question is submitted, wherein the context comprises one or more of: a location, within a particular website or particular information source, from which the question is submitted; or information about a system from which the question is submitted; wherein the question module is further configured to: retrieve results for the at least one question, wherein the at least one category and the at least one question are both used to retrieve the results; based on the results, determine whether the at least one question is an answered question or an unanswered question; in response to determining that the at least one question is an answered question: use a knowledge module to compose an answer to the at least one question, wherein the knowledge module is configured to identify the answer to the at least one question based on the at least one category; return the answer in response to the question; and use a tracking module to store the answered question in association with tracking data for the answered question, wherein the tracking data indicates that the answered question was answered; and in response to determining that the at least one question is an unanswered question: use the tracking module to store the unanswered question in association with tracking data for the unanswered question, wherein the tracking data indicates that the unanswered question was not answered; a statistics module configured to identify one or more frequently asked unanswered questions; an authoring module configured to display the one or more frequently asked unanswered questions and receive answer data for the one or more frequently asked unanswered questions; wherein the statistics module is further configured to provide a question and answer pair based on a most frequently asked question associated with the at least one category; a suggestion module configured to provide the question and answer pair in response to a request for assistance; wherein for each one of a plurality of requests, based on a request type of the one of the plurality of requests, the program logic is configured to select one of the question module, the suggestion module, or the authoring module to handle the one of the plurality of requests; and wherein the context/category module, the knowledge module, the statistics module, and the tracking module are each used by one or more of the question module, the suggestion module, or the authoring module in handling the plurality of requests. 14. The system of claim 13 , wherein the authoring module automatically associates the answer data with the one or more frequently asked unanswered questions. | 0.503145 |
4,771,401 | 46 | 54 | 46. A method for electronic spelling correction in a digital data processing apparatus, said method comprising the steps of A. inputting plural linguistic expressions for storage, each said linguistic expression including alphanumeric characters, B. generating signals representing plural master lexicon entries, each said entry representing an input linguistic expression, C. forming plural master lexicon blocks, each said block being formed by the steps of (i) generating a linguistically salient word skeleton for each linguistic expression in the block, wherein said skeleton includes skeletal symbols, (ii) collating said block linguistically salient word skeletons and determining therefrom a block skeletal collation range, and (iii) storing in a storage medium one or more master lexicon entries, D. forming a master lexicon wherein said blocks are arranged in an addressable sequence determined in accord with their respective skeletal collation range thereof, E. inputting a signal representative of a suspect linguistic expression, F. locating within said master lexicon an entry representing an expression substitutable for said suspect expression, and G. generating a signal indicative of the success of said locating step. | 46. A method for electronic spelling correction in a digital data processing apparatus, said method comprising the steps of A. inputting plural linguistic expressions for storage, each said linguistic expression including alphanumeric characters, B. generating signals representing plural master lexicon entries, each said entry representing an input linguistic expression, C. forming plural master lexicon blocks, each said block being formed by the steps of (i) generating a linguistically salient word skeleton for each linguistic expression in the block, wherein said skeleton includes skeletal symbols, (ii) collating said block linguistically salient word skeletons and determining therefrom a block skeletal collation range, and (iii) storing in a storage medium one or more master lexicon entries, D. forming a master lexicon wherein said blocks are arranged in an addressable sequence determined in accord with their respective skeletal collation range thereof, E. inputting a signal representative of a suspect linguistic expression, F. locating within said master lexicon an entry representing an expression substitutable for said suspect expression, and G. generating a signal indicative of the success of said locating step. 54. A method according to claim 46 wherein said matching step comprises the step of responding to a differential coding contained in a first lexicon entry for generating a signal representative of a first linguistic expression, said differential encoding being representative of a difference in character content between the linguistic expression represented in said first lexicon entry and a second linguistic expression represented in a second said lexicon entry. | 0.771611 |
3,988,746 | 9 | 10 | 9. A photocomposing machine comprising a plurality of character drum means, each including a rotatable character drum bearing characters to be optically projected, each character drum means also including drum traversing drive means to move said rotatable character drum in a direction substantially parallel to the axis of rotation thereof between a first and a second drum position, said characters being arranged in a plurality of substantially parallel, equally spaced bands extending circumferentially around each of said character drums, the distance between said first and second drum positions being equal to the distance between the centers of two adjacent bands of characters and light projection means for projecting characters along an optical path outwardly from each rotatable character drum, said light projecting means including light means mounted against rotation within each said rotating character drum and operative at a plurality of spaced projection points to illuminate characters in a band of characters on a rotatable character drum, the number of light projection points being less than the number of character bands on the rotatable character drum, and light control means to cause the light means to illuminate characters adjacent a selected light projection point, said light means illuminating at a selected light projection point characters in a first band when the character drum is in the first drum position and characters in a second band when the character drum is in the second drum position. | 9. A photocomposing machine comprising a plurality of character drum means, each including a rotatable character drum bearing characters to be optically projected, each character drum means also including drum traversing drive means to move said rotatable character drum in a direction substantially parallel to the axis of rotation thereof between a first and a second drum position, said characters being arranged in a plurality of substantially parallel, equally spaced bands extending circumferentially around each of said character drums, the distance between said first and second drum positions being equal to the distance between the centers of two adjacent bands of characters and light projection means for projecting characters along an optical path outwardly from each rotatable character drum, said light projecting means including light means mounted against rotation within each said rotating character drum and operative at a plurality of spaced projection points to illuminate characters in a band of characters on a rotatable character drum, the number of light projection points being less than the number of character bands on the rotatable character drum, and light control means to cause the light means to illuminate characters adjacent a selected light projection point, said light means illuminating at a selected light projection point characters in a first band when the character drum is in the first drum position and characters in a second band when the character drum is in the second drum position. 10. The photocomposing machine of claim 9 wherein said light means within each said rotatable character drum is formed by a single movable flash lamp, said flash lamp being positioned by said light control means to illuminate a selected light projection point. | 0.875479 |
8,477,331 | 19 | 36 | 19. The method of claim 18 , wherein the processing step further includes using the presentation data to present the electronic image on a presentation device, and to retrieve the information data, whereupon retrieving the information data the processing step uses the information data to present the information contain in the region on the presentation device. | 19. The method of claim 18 , wherein the processing step further includes using the presentation data to present the electronic image on a presentation device, and to retrieve the information data, whereupon retrieving the information data the processing step uses the information data to present the information contain in the region on the presentation device. 36. The method of claim 19 , wherein the processing step further includes retrieving and presenting the information data in other foreign spoken languages and its corresponding meanings. | 0.926366 |
8,332,383 | 55 | 57 | 55. The computer-implemented method of claim 54 , wherein the plurality of constraints includes a second keyword that is utilized in the search definition. | 55. The computer-implemented method of claim 54 , wherein the plurality of constraints includes a second keyword that is utilized in the search definition. 57. The computer-implemented method of claim 55 , including identifying predetermined sets of constraints included within the search request as an atomic constraint, and formulating the search definition utilizing the atomic constraint. | 0.931988 |
9,418,141 | 1 | 14 | 1. A multi-function search box for display on a screen, comprising: a text input control to provide text input functionality, wherein the text input control suggests a complete word based on a partially entered word as a user continues entering characters of the user entered word, and a dropdown display area under and adjacent to the text input control, wherein the dropdown display area is opened upon detected entry in the text input control, the dropdown display area is divided into a first display area and a second display area, wherein, the first display area is oriented under the text input control to display a list of words, every word in the list of words is a suggestion for completing the user entered word; and the second display area coupled to and oriented under the first display area to display a list of contextually related options for a selected word in the list of words, wherein one or more of the contextually related options are generated without applying phrase matching criteria to the selected word, wherein a first displayed character of one or more of the contextually related options is exclusive of a first entered character of the user entered word, wherein the first or second display area is configured to receive a selection that is detected, wherein the detected selection is configured to trigger presentation of a page module including an interactive media space in a word page without generating links to external websites, wherein the page module is contextually related to the detected selection, wherein the multi-function search box is generated by a processor. | 1. A multi-function search box for display on a screen, comprising: a text input control to provide text input functionality, wherein the text input control suggests a complete word based on a partially entered word as a user continues entering characters of the user entered word, and a dropdown display area under and adjacent to the text input control, wherein the dropdown display area is opened upon detected entry in the text input control, the dropdown display area is divided into a first display area and a second display area, wherein, the first display area is oriented under the text input control to display a list of words, every word in the list of words is a suggestion for completing the user entered word; and the second display area coupled to and oriented under the first display area to display a list of contextually related options for a selected word in the list of words, wherein one or more of the contextually related options are generated without applying phrase matching criteria to the selected word, wherein a first displayed character of one or more of the contextually related options is exclusive of a first entered character of the user entered word, wherein the first or second display area is configured to receive a selection that is detected, wherein the detected selection is configured to trigger presentation of a page module including an interactive media space in a word page without generating links to external websites, wherein the page module is contextually related to the detected selection, wherein the multi-function search box is generated by a processor. 14. The multi-function search box as recited in claim 1 , wherein the first display area is separated from the second display area by a bar area, wherein the bar area indicates that the contextually related options are contextually connected with the selected word. | 0.824037 |
7,516,126 | 24 | 27 | 24. The article of manufacture of claim 19 , wherein the multiple-field source comprises a data packet having single fields in its header. | 24. The article of manufacture of claim 19 , wherein the multiple-field source comprises a data packet having single fields in its header. 27. The article of manufacture of claim 24 , wherein the MFVs in the entries include two or more single fields. | 0.968122 |
7,526,503 | 11 | 12 | 11. The method of claim 9 , further comprising storing information regarding a target relation for each direct or inherited attribute of each type of a type hierarchy. | 11. The method of claim 9 , further comprising storing information regarding a target relation for each direct or inherited attribute of each type of a type hierarchy. 12. The method of claim 11 , storing information regarding the target relation is based, at least in part, upon information received from a user regarding a quantity of relations used for representing the type hierarchy. | 0.958553 |
7,580,827 | 14 | 22 | 14. A device comprising: a memory to store instructions; and a processor to execute the instructions to implement: a receiving component to receive a sequence of terms; a coherence component to calculate a coherence of multiple terms in the sequence of terms; a variation component to calculate a variation of context terms in a collection of documents in which the sequence occurs, where the variation of context terms is calculated as a measure of entropy of the context of the sequence; and a decision component to determine whether the sequence constitutes a semantic unit based at least in part on results of the coherence component and the variation component, and output an indication of whether the sequence constitutes a semantic unit for use in a processor. | 14. A device comprising: a memory to store instructions; and a processor to execute the instructions to implement: a receiving component to receive a sequence of terms; a coherence component to calculate a coherence of multiple terms in the sequence of terms; a variation component to calculate a variation of context terms in a collection of documents in which the sequence occurs, where the variation of context terms is calculated as a measure of entropy of the context of the sequence; and a decision component to determine whether the sequence constitutes a semantic unit based at least in part on results of the coherence component and the variation component, and output an indication of whether the sequence constitutes a semantic unit for use in a processor. 22. The device of claim 14 , where the decision component is further to compare the results of the coherence component and the variation component to threshold values and identify the sequence as a semantic unit based at least in part on the comparisons. | 0.842432 |
8,984,089 | 8 | 14 | 8. A method, comprising: receiving, by an industrial automation device including a processor, a request for data stored in the industrial automation device, wherein the request includes a public attribute indicating to provide a description of a schema of the data; detecting, by the industrial automation device, the public attribute; generating, by the industrial automation device, a binary bit stream comprising the data; retrieving, by the industrial automation device, a text string describing the schema of the data, in response to the detecting the public attribute; encoding, by the industrial automation device, the binary bit stream and the text into an extensible markup language (XML)-encoded payload; and communicating, by the industrial automation device via an industrial protocol, the XML-encoded payload to an initiator of the request. | 8. A method, comprising: receiving, by an industrial automation device including a processor, a request for data stored in the industrial automation device, wherein the request includes a public attribute indicating to provide a description of a schema of the data; detecting, by the industrial automation device, the public attribute; generating, by the industrial automation device, a binary bit stream comprising the data; retrieving, by the industrial automation device, a text string describing the schema of the data, in response to the detecting the public attribute; encoding, by the industrial automation device, the binary bit stream and the text into an extensible markup language (XML)-encoded payload; and communicating, by the industrial automation device via an industrial protocol, the XML-encoded payload to an initiator of the request. 14. The method of claim 8 , further comprising determining that the request is associated with an access privilege of the initiator of the request authorized to receive the XML-encoded payload. | 0.597917 |
7,647,314 | 1 | 5 | 1. A method for indexing content items based on click-through features, the method comprising: generating a training set comprising one or more query-content item pairs, wherein a given query-content item pair has one or more click-through features associated therewith, the one or more click-through features including two or more of an average amount of time users stay on a website associated with a given URL, a spam score of the given URL, expected clicks at a position of the given URL in a given search results page and frequency of a query in a query log; labeling one or more query-content item pairs in the training set by assigning click score thereto based on the one or more click-through features thereof, wherein labeling a given content item in the training set comprises providing a given query-content item pair to a human judge to assign a click score; determining a click score function using a loss function based on the click scores of the labeled query-content item pairs and the click-through features thereof; applying the click score function to a plurality of unlabeled query-content item pairs to determine click scores thereof based on the one or more click-through features of the unlabeled query-content item pairs; generating an inverted click-through index of the unlabeled query-content item pairs and the associated query-score pairs, wherein a key to the index is a URL of the content item; and combining the inverted click-through index with a content index by associating the unlabeled query-content item pairs with content items in the content index. | 1. A method for indexing content items based on click-through features, the method comprising: generating a training set comprising one or more query-content item pairs, wherein a given query-content item pair has one or more click-through features associated therewith, the one or more click-through features including two or more of an average amount of time users stay on a website associated with a given URL, a spam score of the given URL, expected clicks at a position of the given URL in a given search results page and frequency of a query in a query log; labeling one or more query-content item pairs in the training set by assigning click score thereto based on the one or more click-through features thereof, wherein labeling a given content item in the training set comprises providing a given query-content item pair to a human judge to assign a click score; determining a click score function using a loss function based on the click scores of the labeled query-content item pairs and the click-through features thereof; applying the click score function to a plurality of unlabeled query-content item pairs to determine click scores thereof based on the one or more click-through features of the unlabeled query-content item pairs; generating an inverted click-through index of the unlabeled query-content item pairs and the associated query-score pairs, wherein a key to the index is a URL of the content item; and combining the inverted click-through index with a content index by associating the unlabeled query-content item pairs with content items in the content index. 5. The method of claim 1 comprising storing the determined click score function for application to an unlabeled query-content item pair. | 0.895706 |
8,667,021 | 1 | 5 | 1. An intelligent system for retrieval and presentation of data to a user of an organization, comprising: a storage device that stores the data; an input device for the user to input at least one of a user initiated free-form inquiry and a user initiated structured inquiry; a computing device that receives the user initiated free-form inquiry and the user initiated structured inquiry, the computing device also structures a system initiated related knowledge search that is related to the free-form inquiry, wherein the related knowledge search is based upon sensory information, the sensory information including information associated with the user, a behavior of the user, a role of the user within the organization, previous free-form inquiries and previous structured inquiries by the user, wherein the related knowledge search is associated with, but not the same as, the free-form inquiry; and displaying the results of the user initiated free-form inquiry, the user initiated structured inquiry and the related knowledge search to a display device. | 1. An intelligent system for retrieval and presentation of data to a user of an organization, comprising: a storage device that stores the data; an input device for the user to input at least one of a user initiated free-form inquiry and a user initiated structured inquiry; a computing device that receives the user initiated free-form inquiry and the user initiated structured inquiry, the computing device also structures a system initiated related knowledge search that is related to the free-form inquiry, wherein the related knowledge search is based upon sensory information, the sensory information including information associated with the user, a behavior of the user, a role of the user within the organization, previous free-form inquiries and previous structured inquiries by the user, wherein the related knowledge search is associated with, but not the same as, the free-form inquiry; and displaying the results of the user initiated free-form inquiry, the user initiated structured inquiry and the related knowledge search to a display device. 5. The intelligent system of claim 1 , wherein the related knowledge search is based upon assistance requests of the system by the user. | 0.788162 |
10,007,728 | 1 | 3 | 1. A method comprising: maintaining a plurality of page objects on a social networking system, the plurality of page objects corresponding to a cluster of pages on the social networking system that describe an equivalent concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages and independent of profile information of a user requesting a page of the cluster of pages, the one or more rules applied based on a predetermined hierarchy; selecting, based on the ranking associated with the plurality of pages, a best page of the cluster of pages describing the equivalent concept; storing an indicator in a page object of the plurality of page objects, the page object corresponding to the selected best page, where the indicator identifies the page object as the best page of the cluster of pages describing the equivalent concept; and directing the user requesting a page of the cluster of pages to the selected best page. | 1. A method comprising: maintaining a plurality of page objects on a social networking system, the plurality of page objects corresponding to a cluster of pages on the social networking system that describe an equivalent concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages and independent of profile information of a user requesting a page of the cluster of pages, the one or more rules applied based on a predetermined hierarchy; selecting, based on the ranking associated with the plurality of pages, a best page of the cluster of pages describing the equivalent concept; storing an indicator in a page object of the plurality of page objects, the page object corresponding to the selected best page, where the indicator identifies the page object as the best page of the cluster of pages describing the equivalent concept; and directing the user requesting a page of the cluster of pages to the selected best page. 3. The method of claim 1 , wherein ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages, the one or more rules applied based on a predetermined hierarchy further comprises: ranking the plurality of pages of the cluster of pages based on a locale of the user requesting the page matching a locale of the page. | 0.68713 |
7,668,791 | 1 | 2 | 1. A computer-implemented method performed by a processor for distinguishing facts from opinions within electronic resources, comprising: receiving a search term comprising a noun; finding relevant electronic resources that match the search term; displaying a list of relevant electronic resources and snippets of the relevant electronic resources in the list that comprise words matching the search term; scanning a relevant electronic resource to discover factual descriptions of sentences that comprise the noun of the search term and one or more verbs matching words of a fact-word table constructed to include a list of verbs determined to be indicative of fact expressions; eliminating portions of the relevant electronic resource from fact extraction processing that comprise words not matching the search term and the words of the fact-word table; examining the discovered factual descriptions to identify the linguistic constituents of the factual descriptions after eliminating portions of the relevant electronic resource; determining whether to present a factual description as a fact based on the identified linguistic constituents; and presenting at least a portion of a sentence that contains the search term and a factual description determined to be a fact relevant to the search term. | 1. A computer-implemented method performed by a processor for distinguishing facts from opinions within electronic resources, comprising: receiving a search term comprising a noun; finding relevant electronic resources that match the search term; displaying a list of relevant electronic resources and snippets of the relevant electronic resources in the list that comprise words matching the search term; scanning a relevant electronic resource to discover factual descriptions of sentences that comprise the noun of the search term and one or more verbs matching words of a fact-word table constructed to include a list of verbs determined to be indicative of fact expressions; eliminating portions of the relevant electronic resource from fact extraction processing that comprise words not matching the search term and the words of the fact-word table; examining the discovered factual descriptions to identify the linguistic constituents of the factual descriptions after eliminating portions of the relevant electronic resource; determining whether to present a factual description as a fact based on the identified linguistic constituents; and presenting at least a portion of a sentence that contains the search term and a factual description determined to be a fact relevant to the search term. 2. The method of claim 1 , wherein determining whether to present a factual description as fact based on the identified linguistic constituent comprises: applying excluding rules in relation to the linguistic constituents of the factual descriptions to eliminate certain factual descriptions from consideration; scoring the factual descriptions; comparing the score of each factual description remaining for consideration to a threshold; and for each factual description having a score that exceeds the threshold, presenting at least a portion of the sentence containing the factual description as a fact. | 0.664634 |
9,373,057 | 11 | 12 | 11. A system for training a neural network that receives an input image and outputs a predetermined number of candidate bounding boxes that each cover a respective portion of the input image at a respective position in the input image and a respective confidence score for each candidate bounding box that represents a likelihood that the candidate bounding box contains an image of an object, the system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: receiving a training image and object location data for the training image, wherein the object location data identifies one or more object locations in the training image; providing the training image to the neural network and obtaining bounding box data for the training image from the neural network, wherein the bounding box data comprises data defining a plurality of candidate bounding boxes in the training image and a respective confidence score for each candidate bounding box in the training image; determining an optimal set of assignments using the object location data for the training image and the bounding box data for the training image, wherein the optimal set of assignments assigns a respective candidate bounding box to each of the object locations; and training the neural network on the training image using the optimal set of assignments. | 11. A system for training a neural network that receives an input image and outputs a predetermined number of candidate bounding boxes that each cover a respective portion of the input image at a respective position in the input image and a respective confidence score for each candidate bounding box that represents a likelihood that the candidate bounding box contains an image of an object, the system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: receiving a training image and object location data for the training image, wherein the object location data identifies one or more object locations in the training image; providing the training image to the neural network and obtaining bounding box data for the training image from the neural network, wherein the bounding box data comprises data defining a plurality of candidate bounding boxes in the training image and a respective confidence score for each candidate bounding box in the training image; determining an optimal set of assignments using the object location data for the training image and the bounding box data for the training image, wherein the optimal set of assignments assigns a respective candidate bounding box to each of the object locations; and training the neural network on the training image using the optimal set of assignments. 12. The system of claim 11 , wherein determining the optimal set of assignments comprises performing a bipartite matching between the object locations and the candidate bounding boxes to select the optimal set of assignments. | 0.672965 |
8,423,555 | 1 | 5 | 1. A method comprising: receiving text associated with a content item, the text including a plurality of term strings, each term string including one or more terms; determining, by a computing device, a set of relevance intervals for a corresponding set of terms in the text, wherein each relevance interval of the set of relevance intervals identifies one or more sections of the content item that are relevant to a corresponding term; generating a first set of nodes for a first term string from the plurality of term strings, wherein the first set of nodes includes a node for each term in the first term string, and at least one node for a term different from the terms in the first term string but whose corresponding relevance interval includes the first term string; generating a second set of nodes for a second term string from the plurality of term strings, wherein the second set of nodes includes a node for each term in the second term string, and at least one node for a term different from the terms in the second term string but whose corresponding relevance interval includes the second term string; and determining a plurality of connections between nodes in the first set of nodes and the second set of nodes, wherein the plurality of connections includes a subset for a first node from the first set of nodes, wherein the subset for the first node includes a connection for each node from the second set of nodes; and using the first set of nodes, second set of nodes or plurality of connections to identify one or more segment boundaries within the content item. | 1. A method comprising: receiving text associated with a content item, the text including a plurality of term strings, each term string including one or more terms; determining, by a computing device, a set of relevance intervals for a corresponding set of terms in the text, wherein each relevance interval of the set of relevance intervals identifies one or more sections of the content item that are relevant to a corresponding term; generating a first set of nodes for a first term string from the plurality of term strings, wherein the first set of nodes includes a node for each term in the first term string, and at least one node for a term different from the terms in the first term string but whose corresponding relevance interval includes the first term string; generating a second set of nodes for a second term string from the plurality of term strings, wherein the second set of nodes includes a node for each term in the second term string, and at least one node for a term different from the terms in the second term string but whose corresponding relevance interval includes the second term string; and determining a plurality of connections between nodes in the first set of nodes and the second set of nodes, wherein the plurality of connections includes a subset for a first node from the first set of nodes, wherein the subset for the first node includes a connection for each node from the second set of nodes; and using the first set of nodes, second set of nodes or plurality of connections to identify one or more segment boundaries within the content item. 5. The method of claim 1 , further comprising: determining that a segment boundary occurs between the first set of nodes and the second set of nodes based on the plurality of connections. | 0.814851 |
9,940,933 | 18 | 20 | 18. The apparatus of claim 15 , wherein, for performing the second recognition, the processor comprises: a calculator configured to perform the evaluation of the sentence, including calculating a degree of suitability for each word in the sentence based on a relationship of each word in the sentence with other words in the sentence; a detector configured to determine the target word from among the words in the sentence based on the calculated degree of suitability for each word; and a replacer configured to replace the target word with the selected at least one of the sampled candidate words. | 18. The apparatus of claim 15 , wherein, for performing the second recognition, the processor comprises: a calculator configured to perform the evaluation of the sentence, including calculating a degree of suitability for each word in the sentence based on a relationship of each word in the sentence with other words in the sentence; a detector configured to determine the target word from among the words in the sentence based on the calculated degree of suitability for each word; and a replacer configured to replace the target word with the selected at least one of the sampled candidate words. 20. The apparatus of claim 18 , wherein the replacer is further configured to perform the sampling of the candidate words based on any one or any combination of any two or more of respective relationships of one or more candidate words with the other words in the sentence exclusive of the target word, respective degrees of similarity of phoneme sequences of the one or more candidate words to a phoneme sequence of the target word, and a context of another sentence preceding the sentence. | 0.806235 |
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