patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
8,023,626 | 16 | 19 | 16. A method of providing language interpretation service, comprising: providing a language access telephone number wherein that a caller speaking a first language and having a business need dials to place a telephone call to a language interpretation service to obtain language interpretation assistance; receiving a language access telephone call at the language interpretation service provider from the caller; identifying, after the telephone call is initiated, the first language from a plurality of languages with a voice recognition system so as to provide the caller with an interpreter that can translate between the first language and the second language, wherein the interpreter is associated with the language interpretation service provider; permitting the interpreter to telephonically engage a first agent representing a first business distinct from the language interpretation service provider that can serve a business need of the caller, wherein the first agent speaks the second language and the interpreter translates a conversation between the caller and the first agent; and determining whether the caller elects to be connected to a second business, wherein if the caller elects to be connected to a second business the interpreter telephonically engages a second agent representing the second business, wherein the second agent speaks the second language and the interpreter translates a second conversation between the caller and the second agent. | 16. A method of providing language interpretation service, comprising: providing a language access telephone number wherein that a caller speaking a first language and having a business need dials to place a telephone call to a language interpretation service to obtain language interpretation assistance; receiving a language access telephone call at the language interpretation service provider from the caller; identifying, after the telephone call is initiated, the first language from a plurality of languages with a voice recognition system so as to provide the caller with an interpreter that can translate between the first language and the second language, wherein the interpreter is associated with the language interpretation service provider; permitting the interpreter to telephonically engage a first agent representing a first business distinct from the language interpretation service provider that can serve a business need of the caller, wherein the first agent speaks the second language and the interpreter translates a conversation between the caller and the first agent; and determining whether the caller elects to be connected to a second business, wherein if the caller elects to be connected to a second business the interpreter telephonically engages a second agent representing the second business, wherein the second agent speaks the second language and the interpreter translates a second conversation between the caller and the second agent. 19. The method of claim 16 , wherein the second business is a business partner of the first business. | 0.848348 |
8,560,297 | 2 | 3 | 2. The method of claim 1 , wherein the word sequences in the first set of word sequences are in a first language and the word sequences in the second set of word sequences are in a second language. | 2. The method of claim 1 , wherein the word sequences in the first set of word sequences are in a first language and the word sequences in the second set of word sequences are in a second language. 3. The method of claim 2 , wherein the highest score is utilized to train a statistical machine translation system that is configured to translate text in the first language to text in the second language. | 0.5 |
8,458,187 | 16 | 18 | 16. A computer program product comprising: a non-transitory computer-usable data carrier storing instructions that, when executed by a computer, cause the computer to perform a method for visualizing topic location on a redundancy graph, the method comprising: constructing a document redundancy graph by representing at least one paragraph associated with a document set as a node among a plurality of nodes, wherein each node among said plurality of nodes represents a unique cluster of information, analyzing said plurality of nodes for redundant information by comparing paragraph identifiers for each of said at least one paragraph to obtain a probability value for each pair of paragraphs, and merging certain of said plurality of nodes based on said probability value; providing data representing a document redundancy graph for a document or document set; determining user interface specified search data; searching for said search data in document subcomponents of said document or document set; determining at least one of said document subcomponents containing data related to search data; determining, from said redundancy graph, data user selectable node(s) containing said determined document subcomponent(s); and generating data for identifying said determined user selectable node(s) on a user interface. | 16. A computer program product comprising: a non-transitory computer-usable data carrier storing instructions that, when executed by a computer, cause the computer to perform a method for visualizing topic location on a redundancy graph, the method comprising: constructing a document redundancy graph by representing at least one paragraph associated with a document set as a node among a plurality of nodes, wherein each node among said plurality of nodes represents a unique cluster of information, analyzing said plurality of nodes for redundant information by comparing paragraph identifiers for each of said at least one paragraph to obtain a probability value for each pair of paragraphs, and merging certain of said plurality of nodes based on said probability value; providing data representing a document redundancy graph for a document or document set; determining user interface specified search data; searching for said search data in document subcomponents of said document or document set; determining at least one of said document subcomponents containing data related to search data; determining, from said redundancy graph, data user selectable node(s) containing said determined document subcomponent(s); and generating data for identifying said determined user selectable node(s) on a user interface. 18. The computer program product of claim 16 , the method comprising determining a keyword from said specified search data; and using said keyword to generate said data for identifying said determined user selectable node(s) on a user interface. | 0.755976 |
7,880,730 | 22 | 37 | 22. A text entry system, comprising: (a) a reduced user input device comprising an auto-correcting keyboard region comprising a plurality of character set members, wherein locations having known coordinates in the auto-correcting keyboard region are associated with corresponding character set members, each location having associated therewith a plurality of said character set members of said alphabet such that contact with one of said locations is ambiguous as to which character set member associated with the location is intended, wherein each time a user contacts the user input device within the auto-correcting keyboard region, a location associated with the user contact is determined and the determined contact location is added to a current input sequence of contact locations; (b) a memory containing a plurality of objects, wherein each object is a string of one or a plurality of character set members; (c) an output device with a text display area; and (d) a processor coupled to the user input device, memory, and output device, said processor comprising: (i) a distance value calculation component which, for each determined contact location in the input sequence of contacts, calculates a set of distance values between the contact locations and the known coordinate locations corresponding to one or a plurality of character set members within the auto-correcting keyboard region; (ii) an object evaluation component which, for each generated input sequence, identifies at least one candidate object in memory, and for each of the at least one identified candidate objects, evaluates each identified candidate object by calculating a matching metric based on the calculated distance values associated with the object, and ranks evaluated candidate objects based on the calculated matching metric values; and (iii) a selection component for identifying at least one candidate object according to an evaluated ranking, presenting the at least one identified object to the user, and enabling the user to select one of the at least one presented objects for output to the text display area on the output device. | 22. A text entry system, comprising: (a) a reduced user input device comprising an auto-correcting keyboard region comprising a plurality of character set members, wherein locations having known coordinates in the auto-correcting keyboard region are associated with corresponding character set members, each location having associated therewith a plurality of said character set members of said alphabet such that contact with one of said locations is ambiguous as to which character set member associated with the location is intended, wherein each time a user contacts the user input device within the auto-correcting keyboard region, a location associated with the user contact is determined and the determined contact location is added to a current input sequence of contact locations; (b) a memory containing a plurality of objects, wherein each object is a string of one or a plurality of character set members; (c) an output device with a text display area; and (d) a processor coupled to the user input device, memory, and output device, said processor comprising: (i) a distance value calculation component which, for each determined contact location in the input sequence of contacts, calculates a set of distance values between the contact locations and the known coordinate locations corresponding to one or a plurality of character set members within the auto-correcting keyboard region; (ii) an object evaluation component which, for each generated input sequence, identifies at least one candidate object in memory, and for each of the at least one identified candidate objects, evaluates each identified candidate object by calculating a matching metric based on the calculated distance values associated with the object, and ranks evaluated candidate objects based on the calculated matching metric values; and (iii) a selection component for identifying at least one candidate object according to an evaluated ranking, presenting the at least one identified object to the user, and enabling the user to select one of the at least one presented objects for output to the text display area on the output device. 37. The system of claim 22 , wherein at least one of the locations with known coordinates in the auto-correcting keyboard region corresponds to a plurality of character set members, one or a plurality of which include various diacritic marks, wherein the plurality of character set members comprise variant forms of a single base character set member, and wherein objects in memory are stored with their correct accented character set members. | 0.53072 |
8,874,516 | 1 | 11 | 1. A method of replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; and provisionally applying the semantic command to the first local version of the database using a processor before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node. | 1. A method of replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; and provisionally applying the semantic command to the first local version of the database using a processor before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node. 11. A method as recited in claim 1 , wherein each of the plurality of nodes includes a semantic translation processor configured to translate the semantic command so that it can be processed by a local semantic processor. | 0.756071 |
9,275,164 | 4 | 7 | 4. The method of claim 1 , wherein providing the reordered search results for presentation comprises: determining that the domain has an indicator associated with the domain; and providing, for presentation, the indicator in proximity to a particular search result associated with the domain. | 4. The method of claim 1 , wherein providing the reordered search results for presentation comprises: determining that the domain has an indicator associated with the domain; and providing, for presentation, the indicator in proximity to a particular search result associated with the domain. 7. The method of claim 4 , wherein the indicator is a favicon. | 0.870293 |
8,583,672 | 21 | 22 | 21. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving first search results for a first search query and a plurality of spelling suggestions for a first misspelled term in the first search query, wherein the first search results are provided by a search engine as a response to the first search query, and wherein a first spelling suggestion of the plurality of spelling suggestions is an aggressive spelling suggestion having an edit distance between the first misspelled term and the first spelling suggestion that is greater than a specified threshold value; displaying the plurality of spelling suggestions and the first search results in a user interface; receiving a user input selecting one of the plurality of spelling suggestions; transmitting data identifying the selected spelling suggestion to request second search results for a second search query comprising the selected spelling suggestion from the search engine; and displaying the second search results in place of the first search results in the user interface. | 21. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving first search results for a first search query and a plurality of spelling suggestions for a first misspelled term in the first search query, wherein the first search results are provided by a search engine as a response to the first search query, and wherein a first spelling suggestion of the plurality of spelling suggestions is an aggressive spelling suggestion having an edit distance between the first misspelled term and the first spelling suggestion that is greater than a specified threshold value; displaying the plurality of spelling suggestions and the first search results in a user interface; receiving a user input selecting one of the plurality of spelling suggestions; transmitting data identifying the selected spelling suggestion to request second search results for a second search query comprising the selected spelling suggestion from the search engine; and displaying the second search results in place of the first search results in the user interface. 22. The computer storage medium of claim 21 , wherein a second spelling suggestion of the plurality of spelling suggestions is an aggressive spelling suggestion that does not share a common phonetic representation with the first misspelled term. | 0.5 |
8,275,620 | 15 | 16 | 15. The computer-readable storage medium device of claim 12 , further comprising: receiving a section of a second one of the plurality of suggested spellings for the at least one word; replacing, on the display device in response to the section of the second one of the plurality of suggested spellings for the at least one word, the image corresponding to the first one of the plurality of suggested spellings for the at least one word with an image corresponding to the second one of the plurality of suggested spellings for the at least one word; and causing the sound button to correspond to the image corresponding to the second one of the plurality of suggested spellings for the at least one word. | 15. The computer-readable storage medium device of claim 12 , further comprising: receiving a section of a second one of the plurality of suggested spellings for the at least one word; replacing, on the display device in response to the section of the second one of the plurality of suggested spellings for the at least one word, the image corresponding to the first one of the plurality of suggested spellings for the at least one word with an image corresponding to the second one of the plurality of suggested spellings for the at least one word; and causing the sound button to correspond to the image corresponding to the second one of the plurality of suggested spellings for the at least one word. 16. The computer-readable storage medium device of claim 15 , further comprising receiving an indication that the sound button has been selected. | 0.5 |
10,122,720 | 1 | 2 | 1. A computer-implemented method for automated analysis of web source content, the method comprising: analyzing a web site structure to identify web page documents of the web site; for the web page documents: i. defining text fragments and their types based on content marking by content tags; ii. deriving terms from a dictionary; iii. finding the terms within the text fragments; iv. determining a suspiciousness parameter value of the text by counting a number of terms with a lexical property “suspicious” in the text fragment, wherein the suspiciousness parameter is “true” if a predetermined number of terms with the “suspicious” lexical property is found in the text; v. determining a genre of the web page document; vi. defining thematic properties of the text of the web page document based on the thematic characteristics of terms found in the text; vii. saving the genre and thematic properties of the text in a document index; viii. finding “child” web page documents linked to the web page documents that have the “suspicious” status and assigning the “suspicious” status to the “child” web page documents; ix. repeating analysis of the text of the web page document if the “suspicious” status is changed; determining a genre of the web site based on the genres of the web page documents; saving the site genre property into a site index; calculating a document disallowance parameter based on rules for all of the web site documents with the “suspicious” status and saving the disallowance parameters into web site document indices; assigning a “disallowed” status to the web page documents if its disallowance parameter exceeds a threshold; saving the “disallowed” status to the web page documents into a web page index; finding a document with a maximum value of the disallowance parameter in a web site index and saving the disallowance parameter as a site disallowance parameter; assigning the “disallowed” status to the web site if its disallowance parameter exceeds a threshold; and blocking the web site based on the “disallowed” status of the web site, wherein the rules include the thematic properties of the texts of the web page documents, genre properties of the web page documents and a genre property of the web site. | 1. A computer-implemented method for automated analysis of web source content, the method comprising: analyzing a web site structure to identify web page documents of the web site; for the web page documents: i. defining text fragments and their types based on content marking by content tags; ii. deriving terms from a dictionary; iii. finding the terms within the text fragments; iv. determining a suspiciousness parameter value of the text by counting a number of terms with a lexical property “suspicious” in the text fragment, wherein the suspiciousness parameter is “true” if a predetermined number of terms with the “suspicious” lexical property is found in the text; v. determining a genre of the web page document; vi. defining thematic properties of the text of the web page document based on the thematic characteristics of terms found in the text; vii. saving the genre and thematic properties of the text in a document index; viii. finding “child” web page documents linked to the web page documents that have the “suspicious” status and assigning the “suspicious” status to the “child” web page documents; ix. repeating analysis of the text of the web page document if the “suspicious” status is changed; determining a genre of the web site based on the genres of the web page documents; saving the site genre property into a site index; calculating a document disallowance parameter based on rules for all of the web site documents with the “suspicious” status and saving the disallowance parameters into web site document indices; assigning a “disallowed” status to the web page documents if its disallowance parameter exceeds a threshold; saving the “disallowed” status to the web page documents into a web page index; finding a document with a maximum value of the disallowance parameter in a web site index and saving the disallowance parameter as a site disallowance parameter; assigning the “disallowed” status to the web site if its disallowance parameter exceeds a threshold; and blocking the web site based on the “disallowed” status of the web site, wherein the rules include the thematic properties of the texts of the web page documents, genre properties of the web page documents and a genre property of the web site. 2. The method of claim 1 , wherein the lexical properties of the terms is a vector with Boolean values indicating whether the terms belong to any of the following groups of terms: professional terms; social group terms; slang terms; narcotics-related terms; terrorism-related terms; obscene language; and suspicious terms. | 0.618483 |
7,558,408 | 27 | 61 | 27. One or more processor-readable digital data storage media having programming instructions embedded therein for programming a processor to classify images including face regions that are acquired with an image acquisition device, the programming instructions comprising: a workflow module providing for the automatic or semiautomatic processing of identified face regions within digital images from which normalized face classifier parameter values are extracted and collectively referred to as a faceprint, the processing comprising: comparing said extracted faceprint to a database of archived faceprints previously determined to correspond to one or more known identities, determining based on the comparing whether a new faceprint corresponds to any of the one or more known identities, and associating the new faceprint and a normalized face region from which said faceprint is derived with a new or known identity within a database comprising other data corresponding to the archived faceprints and associated parent images for performing further comparisons with further faceprints, to permit data corresponding to the new faceprint and its associated parent image to be archived according to the associating by the workflow module within one or more digital data storage media; and a set of user interface modules for obtaining user input in the classifying of faceprints and their associated normalized face regions and parent images; and wherein one or more archived faceprints have been previously determined to correspond to the one or more known identities, and the comparing by the workflow module comprises determining proximities of the values of the face classifier parameters of the new face print image with values corresponding to the one or more archived faceprints, and wherein the determining by the workflow module comprises a further confirmation to determine whether the new faceprint corresponds to a known identity when comparisons of the face classifier parameter values of a first faceprint with multiple archived faceprints corresponding to a same known identity result in at least one determination of an identity match and at least one determination that the identities do not match. | 27. One or more processor-readable digital data storage media having programming instructions embedded therein for programming a processor to classify images including face regions that are acquired with an image acquisition device, the programming instructions comprising: a workflow module providing for the automatic or semiautomatic processing of identified face regions within digital images from which normalized face classifier parameter values are extracted and collectively referred to as a faceprint, the processing comprising: comparing said extracted faceprint to a database of archived faceprints previously determined to correspond to one or more known identities, determining based on the comparing whether a new faceprint corresponds to any of the one or more known identities, and associating the new faceprint and a normalized face region from which said faceprint is derived with a new or known identity within a database comprising other data corresponding to the archived faceprints and associated parent images for performing further comparisons with further faceprints, to permit data corresponding to the new faceprint and its associated parent image to be archived according to the associating by the workflow module within one or more digital data storage media; and a set of user interface modules for obtaining user input in the classifying of faceprints and their associated normalized face regions and parent images; and wherein one or more archived faceprints have been previously determined to correspond to the one or more known identities, and the comparing by the workflow module comprises determining proximities of the values of the face classifier parameters of the new face print image with values corresponding to the one or more archived faceprints, and wherein the determining by the workflow module comprises a further confirmation to determine whether the new faceprint corresponds to a known identity when comparisons of the face classifier parameter values of a first faceprint with multiple archived faceprints corresponding to a same known identity result in at least one determination of an identity match and at least one determination that the identities do not match. 61. The one or more processor-readable digital data storage media of claim 27 , wherein the further confirmation comprises automatically determining that the new face print image corresponds to a know identity based on one or more geometric distance proximities being within a predetermined proximity threshold. | 0.514063 |
8,942,397 | 47 | 48 | 47. The audio system of claim 38 , wherein the filtered volume determiner comprises a filter coupled to a peak detector, and wherein the filter is configured to receive the first signal and generate a filtered signal, and wherein the peak detector is configured to receive the filtered signal and generate the second signal. | 47. The audio system of claim 38 , wherein the filtered volume determiner comprises a filter coupled to a peak detector, and wherein the filter is configured to receive the first signal and generate a filtered signal, and wherein the peak detector is configured to receive the filtered signal and generate the second signal. 48. The audio system of claim 47 , wherein the filter comprises a high-pass filter or a band-pass filter. | 0.774678 |
8,364,463 | 8 | 13 | 8. An apparatus, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive user input comprising an input language/media selection, one or more output languages/medias selections, and a threshold for at least one of accuracy or throughput of one or more requested language/media translations; for each of the one or more requested language media translations, determine whether an accuracy or throughput of a selected one of an automated translation system or a human resource translator is above the threshold for the at least one of accuracy or throughput; responsive to the accuracy or throughput of the selected one of the automated translation system or the human resource translator being above the threshold for the at least one of accuracy or throughput, add either the selected one of the automated translation system or the selected one of the human resource translator to a multiple language/media translation map; generate an optimized multiple language/media translation map utilized by a translation orchestration module in the apparatus; determine whether a selected human resource translator has been assigned to more than one of the one or more requested language/media translations; responsive to the selected human resource translator being assigned more than one translation, determine whether there is another human resource translator or another automatic translation system to perform one of the more than one assigned translations with an accuracy and/or throughput above the predefined threshold; responsive to the existence of the another human resource translator or automatic translation system to perform one of the more than one assigned translations with an accuracy and/or throughput above the predefined threshold, select either the other human resource translator or the other automatic translation system to perform the translation; and add either the another automated translation system or the another resource translator to perform the one of the more than one assigned translations to the multiple language/media translation map. | 8. An apparatus, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive user input comprising an input language/media selection, one or more output languages/medias selections, and a threshold for at least one of accuracy or throughput of one or more requested language/media translations; for each of the one or more requested language media translations, determine whether an accuracy or throughput of a selected one of an automated translation system or a human resource translator is above the threshold for the at least one of accuracy or throughput; responsive to the accuracy or throughput of the selected one of the automated translation system or the human resource translator being above the threshold for the at least one of accuracy or throughput, add either the selected one of the automated translation system or the selected one of the human resource translator to a multiple language/media translation map; generate an optimized multiple language/media translation map utilized by a translation orchestration module in the apparatus; determine whether a selected human resource translator has been assigned to more than one of the one or more requested language/media translations; responsive to the selected human resource translator being assigned more than one translation, determine whether there is another human resource translator or another automatic translation system to perform one of the more than one assigned translations with an accuracy and/or throughput above the predefined threshold; responsive to the existence of the another human resource translator or automatic translation system to perform one of the more than one assigned translations with an accuracy and/or throughput above the predefined threshold, select either the other human resource translator or the other automatic translation system to perform the translation; and add either the another automated translation system or the another resource translator to perform the one of the more than one assigned translations to the multiple language/media translation map. 13. The apparatus of claim 8 , wherein the instructions further cause the processor to: responsive to a failure to identify another human resource translator or automatic translation system to perform one of the more than one assigned translations with an accuracy and/or throughput above the predefined threshold, add either the selected one of the automated translation system or the selected one of the human resource transistor to perform the one or more intermediate translations to the multiple language/media translation map. | 0.796012 |
9,396,192 | 14 | 18 | 14. The system of claim 11 , wherein the control circuitry is further configured to: retrieve closed-captioning information corresponding to the range of play positions; identify a subject based on the retrieved closed-captioning information; and associate the attribute with the identified subject. | 14. The system of claim 11 , wherein the control circuitry is further configured to: retrieve closed-captioning information corresponding to the range of play positions; identify a subject based on the retrieved closed-captioning information; and associate the attribute with the identified subject. 18. The system of claim 14 , wherein the control circuitry is further configured to process a cast list associated with the media asset to identify the subject. | 0.678715 |
10,135,903 | 7 | 9 | 7. A method, comprising the steps of: transmitting over a computer network, by a Distributor comprising a hardware server, an application configured to be run on a client device operated by a customer of the Distributor; analyzing by the Distributor data taken from an account of the customer, an online database and/or an online social media platform to select a token related to the customer; accessing by the Distributor an electronic database to identify a plurality of registered names that are related to the selected token; generating by the Distributor a plurality of available names that are related to the selected token; transmitting over the computer network, by the Distributor, to the client device the plurality of registered names related to the selected token and the plurality of available names related to the selected token, wherein the application is configured to allow the customer to guess on the client device whether each name in the plurality of registered names and each name in the plurality of available names is registered or available for name registration after being displayed and wherein the application is configured to allow the customer to select one or more of the plurality of available names for name registration after being displayed from the client device; receiving over the computer network, by the Distributor, the selected one or more of the plurality of available names from the application running on the client device; and registering by the Distributor the selected one or more of the plurality of available names to the customer. | 7. A method, comprising the steps of: transmitting over a computer network, by a Distributor comprising a hardware server, an application configured to be run on a client device operated by a customer of the Distributor; analyzing by the Distributor data taken from an account of the customer, an online database and/or an online social media platform to select a token related to the customer; accessing by the Distributor an electronic database to identify a plurality of registered names that are related to the selected token; generating by the Distributor a plurality of available names that are related to the selected token; transmitting over the computer network, by the Distributor, to the client device the plurality of registered names related to the selected token and the plurality of available names related to the selected token, wherein the application is configured to allow the customer to guess on the client device whether each name in the plurality of registered names and each name in the plurality of available names is registered or available for name registration after being displayed and wherein the application is configured to allow the customer to select one or more of the plurality of available names for name registration after being displayed from the client device; receiving over the computer network, by the Distributor, the selected one or more of the plurality of available names from the application running on the client device; and registering by the Distributor the selected one or more of the plurality of available names to the customer. 9. The method of claim 7 , wherein the Distributer is a domain name Registrar and the name is a domain name. | 0.937063 |
8,423,910 | 10 | 14 | 10. The method of claim 9 , wherein gathering additional product type information further defining the visualized product comprises gathering additional product type information provided via a graphical user interface. | 10. The method of claim 9 , wherein gathering additional product type information further defining the visualized product comprises gathering additional product type information provided via a graphical user interface. 14. The method of claim 10 , wherein gathering additional product information further defining the visualized product further comprises specifying lower and upper bounds comprising an upper and lower bound of total reader pages for the at least one product characteristic. | 0.5 |
8,117,191 | 21 | 22 | 21. The method of claim 20 , wherein the access privilege index comprises one or more index entries each comprising a reference to a user and/or group, a reference to an XML document, an access privilege and/or an identifier. | 21. The method of claim 20 , wherein the access privilege index comprises one or more index entries each comprising a reference to a user and/or group, a reference to an XML document, an access privilege and/or an identifier. 22. The method of claim 21 , further comprising evaluating the first index entry of the access privilege index that matches the user and/or the groups according to an order defined by the identifiers of the index entries. | 0.5 |
8,850,372 | 21 | 24 | 21. The computing device of claim 20 , wherein the computing device: incrementally refines and extends a sequence of sets of invariants representing bounded invariants and determines a relevance of the one or more design components referenced in the invariant clauses by executing code that causes the computing device to: evaluate, for each invariant, whether the invariant is an unbounded invariant that is first introduced at a specific timestep between the initial and the kth timestep; deterministically assign relative priorities to one or more design components referenced in the invariant based on the specific timestep at which the unbounded invariant is introduced; determine for each design component referenced by an invariant, if the design component has a priority that is equal to a highest priority assigned among the design components; and in response to the design component not having a priority equal to the highest priority assigned, identify the design component as a cutpoint and replace the design component with the cutpoint within the abstracted design. | 21. The computing device of claim 20 , wherein the computing device: incrementally refines and extends a sequence of sets of invariants representing bounded invariants and determines a relevance of the one or more design components referenced in the invariant clauses by executing code that causes the computing device to: evaluate, for each invariant, whether the invariant is an unbounded invariant that is first introduced at a specific timestep between the initial and the kth timestep; deterministically assign relative priorities to one or more design components referenced in the invariant based on the specific timestep at which the unbounded invariant is introduced; determine for each design component referenced by an invariant, if the design component has a priority that is equal to a highest priority assigned among the design components; and in response to the design component not having a priority equal to the highest priority assigned, identify the design component as a cutpoint and replace the design component with the cutpoint within the abstracted design. 24. The computing device of claim 21 , wherein the computing device assigns relative priorities to one or more design components by executing code which causes the computing device to: initially assign to each of the design components a priority value representing a low priority; and in response to identifying a new invariant during processing, automatically update a priority value assigned to each design component referenced by the new invariant to reflect a highest priority, wherein the new invariant can be one of a bounded invariant and an unbounded invariant. | 0.786572 |
7,512,601 | 14 | 15 | 14. A method that facilitates presenting query-relevant summary snippets with query results, comprising: retrieving summary information from retrieved data, wherein the summary information contains multiple subsets of information, each subset of information has been tagged to indicate that the subset contains query-specific summary information and each tagged subset has been associated with matching criteria by the creator of the summary information, at least two of the subsets of information are associated with different matching criteria, the matching criteria comprising at least one expression utilized to match one or more queries with the associated subset; determining at least one subset of summary information that is relevant to the search terms used in the query that invoked retrieval of the data by comparing the search terms with the matching criteria associated with each subset; generating a summary snippet based at least on the at least one subset of summary information deemed relevant to the search terms; and returning the summary snippet to a user who initiated the query. | 14. A method that facilitates presenting query-relevant summary snippets with query results, comprising: retrieving summary information from retrieved data, wherein the summary information contains multiple subsets of information, each subset of information has been tagged to indicate that the subset contains query-specific summary information and each tagged subset has been associated with matching criteria by the creator of the summary information, at least two of the subsets of information are associated with different matching criteria, the matching criteria comprising at least one expression utilized to match one or more queries with the associated subset; determining at least one subset of summary information that is relevant to the search terms used in the query that invoked retrieval of the data by comparing the search terms with the matching criteria associated with each subset; generating a summary snippet based at least on the at least one subset of summary information deemed relevant to the search terms; and returning the summary snippet to a user who initiated the query. 15. The method of claim 14 , further comprising determining whether the retrieved data is relevant to the query by matching the retrieved summary information with at least one search term utilized in the query. | 0.644068 |
8,083,775 | 1 | 10 | 1. A medical device comprising: a bone screw having a longitudinal axis, a proximal end and a distal end; the distal end of the bone screw adapted to engage a vertebra; a housing at the proximal end of the bone screw; a bore in the housing aligned with the longitudinal axis of the bone screw, the bore having an open end and the bore terminating in a spherical pocket; a post having a ball-shaped retainer at a first end, the post being positioned in the bore of the housing such that the ball-shaped retainer is trapped within the spherical pocket allowing the post to pivot about a pivot point at the center of the ball-shaped retainer, and a second end of the post extends through the open end of the bore; a compliant member positioned in the bore between the housing and post to flexibly align the post with the bore and the longitudinal axis of the bone screw; and a bone screw thread which extends along said bone screw and a portion of said housing, said bone screw thread extending more proximally along the housing than the pivot point at the center of the ball-shaped retainer such that, upon implantation, the bone screw and the portion of the housing are adapted to be implanted in a bone and the pivot point is adapted to be positioned within the bone. | 1. A medical device comprising: a bone screw having a longitudinal axis, a proximal end and a distal end; the distal end of the bone screw adapted to engage a vertebra; a housing at the proximal end of the bone screw; a bore in the housing aligned with the longitudinal axis of the bone screw, the bore having an open end and the bore terminating in a spherical pocket; a post having a ball-shaped retainer at a first end, the post being positioned in the bore of the housing such that the ball-shaped retainer is trapped within the spherical pocket allowing the post to pivot about a pivot point at the center of the ball-shaped retainer, and a second end of the post extends through the open end of the bore; a compliant member positioned in the bore between the housing and post to flexibly align the post with the bore and the longitudinal axis of the bone screw; and a bone screw thread which extends along said bone screw and a portion of said housing, said bone screw thread extending more proximally along the housing than the pivot point at the center of the ball-shaped retainer such that, upon implantation, the bone screw and the portion of the housing are adapted to be implanted in a bone and the pivot point is adapted to be positioned within the bone. 10. The medical device of claim 1 , further comprising a ball mounted to the proximal end of the post, the ball received in a spherical pocket of a spinal rod to form a joint which permits the spinal rod to pivot relative to the post. | 0.656891 |
8,392,281 | 21 | 23 | 21. The computer-implemented method of claim 13 further comprising: as implemented by one or more computing devices configured with specific executable instructions, identifying a plurality of combinations including the item of interest, wherein each combination includes the item of interest and items that are complementary to the item of interest. | 21. The computer-implemented method of claim 13 further comprising: as implemented by one or more computing devices configured with specific executable instructions, identifying a plurality of combinations including the item of interest, wherein each combination includes the item of interest and items that are complementary to the item of interest. 23. The computer-implemented method of claim 21 , wherein the rules data define criteria for selecting a first combination for display. | 0.754545 |
9,064,005 | 7 | 8 | 7. A computer usable storage medium having computer-executable instructions stored thereon, the computer-executable instructions configured to cause a computer to implement a method when executed, the method comprising: for at least one search term received from a user, automatically determining additional search terms related to the at least one search term at least in part by performing a probability calculation determining a relevance of the additional search terms to the at least one search term using a Simple Bayes probability model developed from analysis of at least one known document, wherein the analysis involves generating a plurality of overlapping vectors corresponding to a plurality of windows centered on a plurality of respective words of the at least one known document by counting a number of occurrences of the plurality of respective words within each window, wherein each respective word on which a window is centered is excluded from a vector generated corresponding to the window; and providing at least one of the additional search terms to the user. | 7. A computer usable storage medium having computer-executable instructions stored thereon, the computer-executable instructions configured to cause a computer to implement a method when executed, the method comprising: for at least one search term received from a user, automatically determining additional search terms related to the at least one search term at least in part by performing a probability calculation determining a relevance of the additional search terms to the at least one search term using a Simple Bayes probability model developed from analysis of at least one known document, wherein the analysis involves generating a plurality of overlapping vectors corresponding to a plurality of windows centered on a plurality of respective words of the at least one known document by counting a number of occurrences of the plurality of respective words within each window, wherein each respective word on which a window is centered is excluded from a vector generated corresponding to the window; and providing at least one of the additional search terms to the user. 8. The computer usable storage medium of claim 7 , wherein using the Simple Bayes probability model comprises calculating Mutual Information between the at least one search term and at least one of the additional search terms and calculating bias coefficients representative of how common the at least one search term is in the at least one known document. | 0.5 |
8,938,679 | 1 | 9 | 1. A system comprising: a processor instantiating a graphical design environment that provides a drag and drop interface to a user, wherein the drag and drop interface allows a user to add a widget to a design; a note interface in the graphical design environment that displays a note field for accepting a text string from the user; a design player that renders the design from a markup language format after the design has been exported from the graphical design environment and stored as an intermittent coded representation of the design in the markup language format, wherein a set of at least two widgets that include the widget are exported with the design; a discussion interface that: (i) is displayed in the design player consistently with the design; (ii) displays the text string from the user as a note; and (iii) accepts a comment from a second user regarding the note; a scrollbar for the discussion interface, wherein the scrollbar allows the second user to scroll through a set of notes that are each associated with different portions of the design while viewing a fixed portion of the design; an interface element that: (i) is in the discussion interface with the note; and (ii) when selected, places the design player into a state wherein a selection of the widget by the second user links the note with the widget, wherein the state exposes the set of at least two widgets for selection by the second user as a selected widget; and a data store accessible to the graphical design environment and the design player; wherein the comment is displayed in the graphical design environment after being accepted in the discussion interface; and wherein the text string and comment are: (i) stored in the data store along with an indication of the selected widget; (ii) read from the data store and rendered by the design player from the markup language format; and (iii) read from the data store and displayed in the graphical design environment from a design environment format. | 1. A system comprising: a processor instantiating a graphical design environment that provides a drag and drop interface to a user, wherein the drag and drop interface allows a user to add a widget to a design; a note interface in the graphical design environment that displays a note field for accepting a text string from the user; a design player that renders the design from a markup language format after the design has been exported from the graphical design environment and stored as an intermittent coded representation of the design in the markup language format, wherein a set of at least two widgets that include the widget are exported with the design; a discussion interface that: (i) is displayed in the design player consistently with the design; (ii) displays the text string from the user as a note; and (iii) accepts a comment from a second user regarding the note; a scrollbar for the discussion interface, wherein the scrollbar allows the second user to scroll through a set of notes that are each associated with different portions of the design while viewing a fixed portion of the design; an interface element that: (i) is in the discussion interface with the note; and (ii) when selected, places the design player into a state wherein a selection of the widget by the second user links the note with the widget, wherein the state exposes the set of at least two widgets for selection by the second user as a selected widget; and a data store accessible to the graphical design environment and the design player; wherein the comment is displayed in the graphical design environment after being accepted in the discussion interface; and wherein the text string and comment are: (i) stored in the data store along with an indication of the selected widget; (ii) read from the data store and rendered by the design player from the markup language format; and (iii) read from the data store and displayed in the graphical design environment from a design environment format. 9. The system of claim 1 , wherein: the text string is restricted such that it can only be edited by a predetermined set of users. | 0.835025 |
6,069,630 | 14 | 16 | 14. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for developing a communication interface for a data processing system, comprising the steps of: displaying a plurality of graphics wherein each graphic represents a file in authoring said web page; displaying links between objects; and generating each of said links, wherein each link is operable for connecting to one of a top, middle, and bottom of each graphic, and wherein a connection to said top represents a logical link to a location at the beginning of a file, a connection to a middle represents a logical link to a location within a middle of said file, and a link to said bottom indicates that all contents of said file are used in said web page. | 14. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for developing a communication interface for a data processing system, comprising the steps of: displaying a plurality of graphics wherein each graphic represents a file in authoring said web page; displaying links between objects; and generating each of said links, wherein each link is operable for connecting to one of a top, middle, and bottom of each graphic, and wherein a connection to said top represents a logical link to a location at the beginning of a file, a connection to a middle represents a logical link to a location within a middle of said file, and a link to said bottom indicates that all contents of said file are used in said web page. 16. The program storage device of claim 14 wherein each of said plurality of graphics is a three-dimensional graphic. | 0.721429 |
9,569,420 | 1 | 7 | 1. An information processing apparatus, comprising: a Central Processing Unit (CPU) configured to: receive a first selection of displayed content from a user; determine a shape of a trace of the first selection; perform a second selection of displayed content based on the determined shape of the trace of the first selection, wherein the second selection is performed for identifying a third selection of displayed content, wherein the second selection is performed without additional user input, and wherein the third selection is a user's desired selection; obtain data corresponding to at least one selection among the first, second, and third selections, the data comprising text data; receive information associated with the at least one selection, wherein the information associated with the at least one selection comprises (i) a type of user activation associated with the selection and (ii) a plurality of activation positions associated with the type of user selection; identify a keyword within the text data; and store the keyword in a keyword database. | 1. An information processing apparatus, comprising: a Central Processing Unit (CPU) configured to: receive a first selection of displayed content from a user; determine a shape of a trace of the first selection; perform a second selection of displayed content based on the determined shape of the trace of the first selection, wherein the second selection is performed for identifying a third selection of displayed content, wherein the second selection is performed without additional user input, and wherein the third selection is a user's desired selection; obtain data corresponding to at least one selection among the first, second, and third selections, the data comprising text data; receive information associated with the at least one selection, wherein the information associated with the at least one selection comprises (i) a type of user activation associated with the selection and (ii) a plurality of activation positions associated with the type of user selection; identify a keyword within the text data; and store the keyword in a keyword database. 7. The information processing apparatus of claim 1 , wherein the CPU is further configured to decompose the text data into a plurality of morphemes. | 0.756579 |
8,468,167 | 7 | 8 | 7. The computer-implemented method of claim 6 , further comprising: based on the modified assigned weights, identifying an anomaly with the first data element; and in response to identifying the anomaly, automatically correcting the anomaly with the first data element. | 7. The computer-implemented method of claim 6 , further comprising: based on the modified assigned weights, identifying an anomaly with the first data element; and in response to identifying the anomaly, automatically correcting the anomaly with the first data element. 8. The computer-implemented method of claim 7 , further comprising: searching at least one real estate database using data elements from the second list of data elements to retrieve search results that are a same category of data element as the first data element. | 0.5 |
9,589,050 | 6 | 10 | 6. A computer system, comprising: one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform: receiving a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services; calculating a general relevance indicator for each service among services in a category using: GRI Q = ∑ i = 1 M q k KRI i + ∑ i = 1 M q r α i 2 × RRI i ( ( M q k + ∑ i = 1 M q r α i ) ( ∑ i = 1 M s k KRI i 2 + ( ∑ i = 1 M s r α i 2 × RRI i 2 ) ) ) 1 2 , wherein KRI i is a keyword relevance indicator of a keyword i, from the keywords, associated with a service of the services in the category, wherein M k is a total number of the keywords in the query, wherein RRI j is a relevant word relevance indicator of a relevant word i, from the relevant words, associated with the service, wherein Mr is a total number of the relevant words in the query, and wherein α i is a weight for the relevant word i; ranking the services in the category based on the general relevance indicator for each service; and in response to determining that at least one of the selected services is not ranked high with reference to the ranked services in the category, recommending synonyms to be used to substitute corresponding keywords and synonyms to be used to substitute relevant words in the query; recommending new relevant words by: retrieving names of properties and names of relationships of a concept identified by a keyword among the keywords in an ontology database as candidate relevant words; and in response to determining that the candidate relevant words are not in the query and no synonyms are found, providing a recommendation that the candidate relevant words be included in the query as the new relevant words; and recommending one or more additional services to be included in the query. | 6. A computer system, comprising: one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform: receiving a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services; calculating a general relevance indicator for each service among services in a category using: GRI Q = ∑ i = 1 M q k KRI i + ∑ i = 1 M q r α i 2 × RRI i ( ( M q k + ∑ i = 1 M q r α i ) ( ∑ i = 1 M s k KRI i 2 + ( ∑ i = 1 M s r α i 2 × RRI i 2 ) ) ) 1 2 , wherein KRI i is a keyword relevance indicator of a keyword i, from the keywords, associated with a service of the services in the category, wherein M k is a total number of the keywords in the query, wherein RRI j is a relevant word relevance indicator of a relevant word i, from the relevant words, associated with the service, wherein Mr is a total number of the relevant words in the query, and wherein α i is a weight for the relevant word i; ranking the services in the category based on the general relevance indicator for each service; and in response to determining that at least one of the selected services is not ranked high with reference to the ranked services in the category, recommending synonyms to be used to substitute corresponding keywords and synonyms to be used to substitute relevant words in the query; recommending new relevant words by: retrieving names of properties and names of relationships of a concept identified by a keyword among the keywords in an ontology database as candidate relevant words; and in response to determining that the candidate relevant words are not in the query and no synonyms are found, providing a recommendation that the candidate relevant words be included in the query as the new relevant words; and recommending one or more additional services to be included in the query. 10. The computer system of claim 6 , wherein a Software as a Service (SaaS) is configured to perform computer system operations. | 0.854875 |
9,798,703 | 12 | 17 | 12. The method of claim 11 , wherein executing the document validation system comprises executing an interface to an external validation system and receiving from the external validation system results from the external validation system's validation of the generated instance document including the generated status indicator corresponding to the code via the interface to the external validation system. | 12. The method of claim 11 , wherein executing the document validation system comprises executing an interface to an external validation system and receiving from the external validation system results from the external validation system's validation of the generated instance document including the generated status indicator corresponding to the code via the interface to the external validation system. 17. The method of claim 12 , wherein executing the interface to the external validation system and receiving from the external validation system validation results comprises both the document preparation system and the external validation system accessing a commonly accessible data store. | 0.709839 |
9,323,447 | 10 | 16 | 10. An electronic whiteboard, comprising: a memory; a touch screen interface configured to receive as first input a tag class configuration instruction identifying a metadata tag class, display a tag configuration list for the metadata tag class, receive as second input a plurality of metadata tags and associated metadata tag priorities for inclusion in the metadata tag class, wherein the metadata tags and the associated metadata tag priorities are received as handwritten characters in empty metadata tag cells and counterpart empty metadata tag priority cells within the tag configuration list, receive as third input an object tagging instruction identifying an object to be tagged with metadata, display as output a hierarchical selection menu including the metadata tag class as a selectable option on a first level and the metadata tags as selectable options on a second level, wherein the metadata tags are ordered on the second level in accordance with the metadata tag priorities, and receive as fourth input a selection from the hierarchical selection menu of one of the metadata tags, whereby the identified object is tagged with the metadata; and a processor communicatively coupled with memory and the touch screen interface configured to associate in the memory the metadata tag class with the metadata tags and the associated metadata tag priorities and generate the hierarchical selection menu using the associated metadata tag class, metadata tags and metadata tag priorities. | 10. An electronic whiteboard, comprising: a memory; a touch screen interface configured to receive as first input a tag class configuration instruction identifying a metadata tag class, display a tag configuration list for the metadata tag class, receive as second input a plurality of metadata tags and associated metadata tag priorities for inclusion in the metadata tag class, wherein the metadata tags and the associated metadata tag priorities are received as handwritten characters in empty metadata tag cells and counterpart empty metadata tag priority cells within the tag configuration list, receive as third input an object tagging instruction identifying an object to be tagged with metadata, display as output a hierarchical selection menu including the metadata tag class as a selectable option on a first level and the metadata tags as selectable options on a second level, wherein the metadata tags are ordered on the second level in accordance with the metadata tag priorities, and receive as fourth input a selection from the hierarchical selection menu of one of the metadata tags, whereby the identified object is tagged with the metadata; and a processor communicatively coupled with memory and the touch screen interface configured to associate in the memory the metadata tag class with the metadata tags and the associated metadata tag priorities and generate the hierarchical selection menu using the associated metadata tag class, metadata tags and metadata tag priorities. 16. The electronic whiteboard of claim 10 , wherein the second level of the hierarchical selection menu is outputted in response to a selection of the metadata tag class on the first level of the hierarchical selection menu. | 0.820225 |
10,157,365 | 1 | 8 | 1. A method comprising: identifying, via a processing device executing generation of a user interface, a plurality of service oriented candidates in a service-oriented architecture (SOA) service model, wherein the plurality of service oriented candidates comprise a first service candidate, a second service candidate, and a composition candidate, wherein the composition candidate comprises at least the first service candidate and the second service candidate; replacing a composition candidate inventory presented in a first portion of the user interface with a service candidate inventory comprising the first service candidate and the second service candidate in response to a selection of the composition candidate from the composition candidate inventory; adding, via drag and drop operations, the first service candidate and the second service candidate to the composition candidate, wherein a first visualization of the first service candidate and a second visualization of the second service candidate are comprised in a layout of the composition candidate in a second portion of the user interface; receiving, via the user interface, information to define a relationship between the first service candidate and the second service candidate; responsive to a determination that the relationship complies with a SOA principle: adding the relationship to the SOA service model; updating one or more relationship counters associated with the composition candidate, wherein the one or more relationship counters are updated to track the relationship between the first service candidate and the second service candidate; and providing, in view of an indicated selected function of a modeling tool provided via the user interface, the one or more relationship counters on the user interface; and reusing, via the user interface, the first service candidate, the second service candidate, and the composition candidate according to the relationship and the one or more relationship counters. | 1. A method comprising: identifying, via a processing device executing generation of a user interface, a plurality of service oriented candidates in a service-oriented architecture (SOA) service model, wherein the plurality of service oriented candidates comprise a first service candidate, a second service candidate, and a composition candidate, wherein the composition candidate comprises at least the first service candidate and the second service candidate; replacing a composition candidate inventory presented in a first portion of the user interface with a service candidate inventory comprising the first service candidate and the second service candidate in response to a selection of the composition candidate from the composition candidate inventory; adding, via drag and drop operations, the first service candidate and the second service candidate to the composition candidate, wherein a first visualization of the first service candidate and a second visualization of the second service candidate are comprised in a layout of the composition candidate in a second portion of the user interface; receiving, via the user interface, information to define a relationship between the first service candidate and the second service candidate; responsive to a determination that the relationship complies with a SOA principle: adding the relationship to the SOA service model; updating one or more relationship counters associated with the composition candidate, wherein the one or more relationship counters are updated to track the relationship between the first service candidate and the second service candidate; and providing, in view of an indicated selected function of a modeling tool provided via the user interface, the one or more relationship counters on the user interface; and reusing, via the user interface, the first service candidate, the second service candidate, and the composition candidate according to the relationship and the one or more relationship counters. 8. The method of claim 1 further comprising updating one or more different relationship counters associated with the first service candidate or the second service candidate, the one or more different relationship counters displayed in the user interface. | 0.524345 |
9,760,614 | 8 | 9 | 8. The method of claim 7 , further comprising: displaying the automatically generated database search query in the query display area. | 8. The method of claim 7 , further comprising: displaying the automatically generated database search query in the query display area. 9. The method of claim 8 , wherein the database search query is generated in response to user actuation of a “Build” button included in the screen display. | 0.5 |
9,043,331 | 24 | 25 | 24. The method of claim 17 , further comprising extracting a domain name for each of the first set of new URLs. | 24. The method of claim 17 , further comprising extracting a domain name for each of the first set of new URLs. 25. The method of claim 24 , further comprising querying a domain name database with the extracted domain names from the first set of new URLs, the domain name database maintaining information associated with registered domain names. | 0.5 |
7,571,155 | 9 | 21 | 9. A computer implemented method for generating a search result list in response to a search request input from a searcher through a communication network, comprising the steps of: maintaining a plurality of search listings including URLs associated with network information providers; determining a lowest limit bidding price for each keyword by a processor, the lowest limit bidding price being determined in consideration of at least one of a number of page views for each keyword, a basic unit price per one page view and a weight associated with a preference for the each keyword; receiving keywords associated with the search listings and bidding prices associated with the keywords from the network information providers, the bidding prices being higher than or equal to the lowest limit bidding price, wherein the received bidding prices are hidden from the network information providers; selecting a successful bidder among a plurality of network information providers associated with the keywords according to a predetermined criterion associated with the bidding prices after a tender period of time expires, wherein the tender period of time is a period of time in which the bidding prices are accepted; and generating a search result list including at least a portion of the plurality of search listings in response to the search request, wherein at least one portion of the plurality of search listings is arranged in a predetermined search listing placement position. | 9. A computer implemented method for generating a search result list in response to a search request input from a searcher through a communication network, comprising the steps of: maintaining a plurality of search listings including URLs associated with network information providers; determining a lowest limit bidding price for each keyword by a processor, the lowest limit bidding price being determined in consideration of at least one of a number of page views for each keyword, a basic unit price per one page view and a weight associated with a preference for the each keyword; receiving keywords associated with the search listings and bidding prices associated with the keywords from the network information providers, the bidding prices being higher than or equal to the lowest limit bidding price, wherein the received bidding prices are hidden from the network information providers; selecting a successful bidder among a plurality of network information providers associated with the keywords according to a predetermined criterion associated with the bidding prices after a tender period of time expires, wherein the tender period of time is a period of time in which the bidding prices are accepted; and generating a search result list including at least a portion of the plurality of search listings in response to the search request, wherein at least one portion of the plurality of search listings is arranged in a predetermined search listing placement position. 21. The method as claimed in claim 9 , wherein the step of receiving the bidding prices includes the step of limiting the number of receipt of bidding prices from same network information providers to the predetermined number of times or demanding an additional price when bidding prices are received above the predetermined number of times. | 0.676471 |
8,838,605 | 1 | 7 | 1. A method comprising: parsing patent data to generate a set of nodes; selecting at least one node of the set of nodes; determining initial links from meta data associated with the patent data for the at least one node; creating links among the set of nodes based on the metadata; identifying a set of seed nodes; determining a community structure for the set of seed nodes, the community structure including a plurality of communities; and assigning concepts to the plurality of communities, wherein determining the community structure comprises: initiating a percolation message from a source node of a linked network, the linked network comprising a plurality of nodes and a plurality of edges, each edge connecting at least two of the plurality of nodes, wherein a node is a neighbor if the node is connected to another node in the plurality of nodes by an edge, wherein the percolation message comprises a percolation probability and an identifier of the source node, and wherein initiating a percolation message from the source node comprises transmitting the percolation message to each neighbor of the source node with the percolation probability; propagating the percolation message through the linked network, wherein propagating the percolation message through the linked network comprises: transmitting the percolation message from each node that receives the percolation message to each neighbor of each node that receives the percolation message; and transmitting a response to the source node from each node that receives the percolation message; collecting each response to the percolation message at the source node; and storing a list of nodes that transmitted the response at the source node. | 1. A method comprising: parsing patent data to generate a set of nodes; selecting at least one node of the set of nodes; determining initial links from meta data associated with the patent data for the at least one node; creating links among the set of nodes based on the metadata; identifying a set of seed nodes; determining a community structure for the set of seed nodes, the community structure including a plurality of communities; and assigning concepts to the plurality of communities, wherein determining the community structure comprises: initiating a percolation message from a source node of a linked network, the linked network comprising a plurality of nodes and a plurality of edges, each edge connecting at least two of the plurality of nodes, wherein a node is a neighbor if the node is connected to another node in the plurality of nodes by an edge, wherein the percolation message comprises a percolation probability and an identifier of the source node, and wherein initiating a percolation message from the source node comprises transmitting the percolation message to each neighbor of the source node with the percolation probability; propagating the percolation message through the linked network, wherein propagating the percolation message through the linked network comprises: transmitting the percolation message from each node that receives the percolation message to each neighbor of each node that receives the percolation message; and transmitting a response to the source node from each node that receives the percolation message; collecting each response to the percolation message at the source node; and storing a list of nodes that transmitted the response at the source node. 7. The method of claim 1 , further comprising producing a report based on user requirements. | 0.858025 |
4,783,811 | 3 | 5 | 3. A method using automated apparatus for adding syllable boundaries to a series of input bytes to produce a series of output bytes, comprising the steps of: storing a plurality of rule sections each comprising a number of syllable-marking rules in a rule set; applying a first rule section of the rule set to the input bytes, including the substeps of: comparing a source part of a first rule of the first rule section with an input segment having a number of input bytes to determine if a sufficient match exists; if a sufficient match exits, transforming the input segment with an output part of the first rule to obtain syllabified output data; if a sufficient match does not exist, repeating the above substeps for succeeding rules of the first rule section until a sufficient match is obtained or until all rules of the first rule section have been compared; and if a sufficient match does not exist, sequentially applying a number of next rule sections in the rule set according to the substeps of applying the first rule section, until all of the next rule sections have been applied or until a sufficient match has been obtained. | 3. A method using automated apparatus for adding syllable boundaries to a series of input bytes to produce a series of output bytes, comprising the steps of: storing a plurality of rule sections each comprising a number of syllable-marking rules in a rule set; applying a first rule section of the rule set to the input bytes, including the substeps of: comparing a source part of a first rule of the first rule section with an input segment having a number of input bytes to determine if a sufficient match exists; if a sufficient match exits, transforming the input segment with an output part of the first rule to obtain syllabified output data; if a sufficient match does not exist, repeating the above substeps for succeeding rules of the first rule section until a sufficient match is obtained or until all rules of the first rule section have been compared; and if a sufficient match does not exist, sequentially applying a number of next rule sections in the rule set according to the substeps of applying the first rule section, until all of the next rule sections have been applied or until a sufficient match has been obtained. 5. The method of claim 3, and further including the steps of: providing a drop/pass indicator for the rule set; passing the input segment to the output data in response to no match being obtained to any rule in the rule set if the drop/pass indicator of the rule set indicates that unmatched data is to be passed; and not passing the input segment in response to no match being obtained to any rule in the rule set if the drop/pass indicator of the rule set indicates that the unmatched segment is to be dropped. | 0.61791 |
9,256,647 | 2 | 3 | 2. The information processing apparatus according to claim 1 , wherein the information comprises the attribute values, and character strings related to the search targets; said program further includes algorithms to cause said processor to further implement an extracting unit that, when as a result of the comparison made by the comparing unit, the non-selected search target includes an attribute value which is more advantageous than that of the selected search target, extracts a word which is not included in the character string related to the selected search target from the character string related to the non-selected search target; and when the extracting unit extracts the word, the control unit perform controls such that information about a search target, among the remaining search targets, whose attribute value is more advantageous than that of the selected search target and whose character string does not include the word changes to a display mode, the display mode being more visually distinguishable from information about a search target whose character string includes the word. | 2. The information processing apparatus according to claim 1 , wherein the information comprises the attribute values, and character strings related to the search targets; said program further includes algorithms to cause said processor to further implement an extracting unit that, when as a result of the comparison made by the comparing unit, the non-selected search target includes an attribute value which is more advantageous than that of the selected search target, extracts a word which is not included in the character string related to the selected search target from the character string related to the non-selected search target; and when the extracting unit extracts the word, the control unit perform controls such that information about a search target, among the remaining search targets, whose attribute value is more advantageous than that of the selected search target and whose character string does not include the word changes to a display mode, the display mode being more visually distinguishable from information about a search target whose character string includes the word. 3. The information processing apparatus according to claim 2 , wherein the extracting unit extracts, from the character string related to the non-selected search target, a word which is included neither in a character string related to another non-selected search target, among the remaining search targets, whose attribute value is more disadvantageous than that of the selected search target nor in the character string related to the selected search target. | 0.5 |
9,195,639 | 13 | 16 | 13. A computer-implemented method of automatically analyzing text documents in which a computer performs the following steps: comparing text from a subject text to text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text from the subject text document to a given degree of correspondence; generating a report of the differences between the text from the subject text document and the text of the matching text template or text templates; comparing a family of specimen text documents; identifying one paragraph of text within one of the family of specimen text documents that most closely matches a paragraph of text in all of the other specimen text documents, as compared to all of the other paragraphs in the one specimen text document; and generating one of the text templates containing at least the one identified paragraph of text. | 13. A computer-implemented method of automatically analyzing text documents in which a computer performs the following steps: comparing text from a subject text to text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text from the subject text document to a given degree of correspondence; generating a report of the differences between the text from the subject text document and the text of the matching text template or text templates; comparing a family of specimen text documents; identifying one paragraph of text within one of the family of specimen text documents that most closely matches a paragraph of text in all of the other specimen text documents, as compared to all of the other paragraphs in the one specimen text document; and generating one of the text templates containing at least the one identified paragraph of text. 16. The computer-implemented method of claim 13 wherein the determining matches to a degree of correspondence step uses an edit distance algorithm. | 0.543478 |
8,615,419 | 16 | 29 | 16. An apparatus for calculating an interaction churn score in an organization with which the customer has an interaction, the apparatus comprising: a voice recording device for capturing the interaction; a category definition component for defining a plurality of categories, each category characterized by an at least one parameter of a voiced expression; a categorization component for categorizing the interaction, based on a determined relation of data of the interaction to churning, into at least one churning category out of a total number of categories according to an extent to which the data of the interaction belongs to the least one churning category; an interaction churn score determination component for determining an interaction churn score related to the interaction, wherein the interaction churn score comprises a term directly related to the number of churning categories the interaction is categorized into and inversely related to the total number of churning categories based on a formula as:
A *(maximal score for a churning category)+ B *((the number of churning categories into which the interaction is categorized)/(the number of churning categories)*100), wherein A and B are coefficients that satisfy a condition of A+B=1; and wherein the cited components comprise processing apparatus configured to perform the corresponding tasks cited above. | 16. An apparatus for calculating an interaction churn score in an organization with which the customer has an interaction, the apparatus comprising: a voice recording device for capturing the interaction; a category definition component for defining a plurality of categories, each category characterized by an at least one parameter of a voiced expression; a categorization component for categorizing the interaction, based on a determined relation of data of the interaction to churning, into at least one churning category out of a total number of categories according to an extent to which the data of the interaction belongs to the least one churning category; an interaction churn score determination component for determining an interaction churn score related to the interaction, wherein the interaction churn score comprises a term directly related to the number of churning categories the interaction is categorized into and inversely related to the total number of churning categories based on a formula as:
A *(maximal score for a churning category)+ B *((the number of churning categories into which the interaction is categorized)/(the number of churning categories)*100), wherein A and B are coefficients that satisfy a condition of A+B=1; and wherein the cited components comprise processing apparatus configured to perform the corresponding tasks cited above. 29. The apparatus according to claim 16 , wherein each category is characterized based on former interactions. | 0.903678 |
7,873,622 | 2 | 3 | 2. The system of claim 1 , wherein at least some panes in the closed state are represented as narrowed columns with a user-selectable GUI widget positioned therein, the selection of which by a user causes the associated pane to be configured to be in the open state. | 2. The system of claim 1 , wherein at least some panes in the closed state are represented as narrowed columns with a user-selectable GUI widget positioned therein, the selection of which by a user causes the associated pane to be configured to be in the open state. 3. The system of claim 2 , wherein the GUI widget is a button. | 0.5 |
7,512,976 | 9 | 12 | 9. A data processing system for controlling access to a resource, the data processing system comprising: receiving means for receiving access decision information from a client in a format other than in an extensible markup language format, wherein the access decision information is usable for the controlling of the access to the resource; formatting means for formatting the access decision information into the access decision information document in the extensible markup language format; evaluating means for evaluating the access decision information document in an extensible markup language format with an extensible markup language rule, wherein the evaluation means has two different extensible markup language entities as input, which are (i) the access decision information document in the extensible markup language format and (ii) the extensible markup language rule, wherein the extensible markup language rule is in a compiled rule object compiled by an extensible markup language processor and identifies the access decision information; and generating means for generating an access decision based on the evaluation. | 9. A data processing system for controlling access to a resource, the data processing system comprising: receiving means for receiving access decision information from a client in a format other than in an extensible markup language format, wherein the access decision information is usable for the controlling of the access to the resource; formatting means for formatting the access decision information into the access decision information document in the extensible markup language format; evaluating means for evaluating the access decision information document in an extensible markup language format with an extensible markup language rule, wherein the evaluation means has two different extensible markup language entities as input, which are (i) the access decision information document in the extensible markup language format and (ii) the extensible markup language rule, wherein the extensible markup language rule is in a compiled rule object compiled by an extensible markup language processor and identifies the access decision information; and generating means for generating an access decision based on the evaluation. 12. The data processing system of claim 9 , wherein the extensible markup language rule references at least one valid element within the access decision information. | 0.5 |
9,798,724 | 9 | 12 | 9. A system for document discovery, comprising: a data repository storing a plurality of electronic documents, wherein each of the plurality of electronic documents comprises searchable metadata; a computer processor connected to the data repository that: receives a scan of a physical copy of a document comprising a non-text object; determines a first tag for the non-text object by comparing the non-text object with a plurality of templates comprising a plurality of tags, wherein the first tag defines a portion of the non-text object in an original file and specifies a type of the non-text object and a formatting attribute of the non-text object; generates, based on the first tag, non-text object metadata comprising composition information comprising the type and the formatting attribute for the non-text object; searches the plurality of electronic documents stored in the data repository with a search query comprising the non-text object metadata; compares the non-text object metadata with the searchable metadata; and provides a location of the original file to a user when the non-text object metadata in the search query matches the searchable metadata of the original file. | 9. A system for document discovery, comprising: a data repository storing a plurality of electronic documents, wherein each of the plurality of electronic documents comprises searchable metadata; a computer processor connected to the data repository that: receives a scan of a physical copy of a document comprising a non-text object; determines a first tag for the non-text object by comparing the non-text object with a plurality of templates comprising a plurality of tags, wherein the first tag defines a portion of the non-text object in an original file and specifies a type of the non-text object and a formatting attribute of the non-text object; generates, based on the first tag, non-text object metadata comprising composition information comprising the type and the formatting attribute for the non-text object; searches the plurality of electronic documents stored in the data repository with a search query comprising the non-text object metadata; compares the non-text object metadata with the searchable metadata; and provides a location of the original file to a user when the non-text object metadata in the search query matches the searchable metadata of the original file. 12. The system of claim 9 , wherein the computer processor also: determines whether the user has authorization to access the original file, wherein the location is provided only when the user is determined to have authorization to access the original file. | 0.728814 |
9,053,199 | 8 | 11 | 8. A method, implemented by a computing device configured to utilize a script file repository, the method comprising: accessing, by the computing device, a web document, the web document having a uniform resource locator (URL) for a script file, wherein the web document also includes a unique identifier for the script file appended to the URL; recognizing, by the computing device, the unique identifier appended to the URL of the script file; obtaining, by the computing device, the unique identifier from the web document; determining, by the computing device and based on the unique identifier, whether the script file is located at a same server as that specified by the URL for the script file, or that the script file is located at a script file repository located at a different server from that specified by the URL for the script file; and in response to determining that the script file is located at the script file repository, obtaining, by the computing device, the script file from the script file repository using the unique identifier. | 8. A method, implemented by a computing device configured to utilize a script file repository, the method comprising: accessing, by the computing device, a web document, the web document having a uniform resource locator (URL) for a script file, wherein the web document also includes a unique identifier for the script file appended to the URL; recognizing, by the computing device, the unique identifier appended to the URL of the script file; obtaining, by the computing device, the unique identifier from the web document; determining, by the computing device and based on the unique identifier, whether the script file is located at a same server as that specified by the URL for the script file, or that the script file is located at a script file repository located at a different server from that specified by the URL for the script file; and in response to determining that the script file is located at the script file repository, obtaining, by the computing device, the script file from the script file repository using the unique identifier. 11. A method according to claim 8 , wherein in response to the determining, obtaining, by the computing device, the script file from a cache on the computing device using the unique identifier in response to a determination that the script file associated with the unique identifier has been previously obtained from the script file repository, and a copy is located in the cache. | 0.536585 |
7,478,192 | 46 | 47 | 46. An associative memory computer program product according to claim 40 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide a plurality of itineraries; and computer-readable program code that is configured to provide a controller that is configured to control the processing system to observe associations into, and imagine associations from, the network of networks of associative memory networks, according to a selected one of the plurality of itineraries. | 46. An associative memory computer program product according to claim 40 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide a plurality of itineraries; and computer-readable program code that is configured to provide a controller that is configured to control the processing system to observe associations into, and imagine associations from, the network of networks of associative memory networks, according to a selected one of the plurality of itineraries. 47. An associative memory computer program product according to claim 46 wherein the computer-readable program code that is configured to provide a processing system further comprises: computer-readable program code that is configured to provide a whiteboard that is configured to store intermediate results that are produced by the processing system. | 0.5 |
8,589,523 | 1 | 4 | 1. A system for providing personalized assistance to users with setup of their respective media-playing sets comprising: (a) a computing device remote from each set hosting a web page interface enabling each user to create an individual account and to provide user input comprising personal setup information for entry into said individual account, said setup information including user selections of specific features said user prefers to enable on said media playing set; (b) said computing device including a script generator to generate a personalized script for each set of a corresponding user, said script generator, without further user input and using said specific features selected by only the corresponding user, automatically constructing a composite code sequence from selected ones of a plurality of preexisting code sequences stored in a location accessible to said script generator, each preexisting code sequence associated with a respective feature selectively enabled by a said medial playing set; and (c) said computing device configuring the corresponding set using said composite code sequence. | 1. A system for providing personalized assistance to users with setup of their respective media-playing sets comprising: (a) a computing device remote from each set hosting a web page interface enabling each user to create an individual account and to provide user input comprising personal setup information for entry into said individual account, said setup information including user selections of specific features said user prefers to enable on said media playing set; (b) said computing device including a script generator to generate a personalized script for each set of a corresponding user, said script generator, without further user input and using said specific features selected by only the corresponding user, automatically constructing a composite code sequence from selected ones of a plurality of preexisting code sequences stored in a location accessible to said script generator, each preexisting code sequence associated with a respective feature selectively enabled by a said medial playing set; and (c) said computing device configuring the corresponding set using said composite code sequence. 4. The system of claim 1 wherein each personalized script includes a code sequence for automatically uninstalling said script upon completing said personalized setup selections. | 0.757534 |
9,626,963 | 1 | 3 | 1. A system, comprising: a processor; a single microphone configured to both record user speech and to record ambient sounds; and a speech recognition module configured to: identify that the ambient sounds are of a particular type by comparing the ambient sounds to stored waveforms; select a dictionary based on the identified particular type of ambient sounds; identify, as contextual information, terms related to the identified particular type of ambient sounds based on identification of the identified particular type of ambient sounds, the terms being generated as contextual information; alter, in response to identification of the terms related to the identified particular type of ambient sounds, the dictionary such that the dictionary includes the terms related to the identified particular type of ambient sounds; assign, in the dictionary, score values to the terms related to the identified particular type of ambient sounds based on identifying that the terms are related to the identified particular type of ambient sounds; and analyze the user speech by comparing each potential output word or phoneme in the user speech to waveforms stored for the dictionary to attempt to match the potential output word or phoneme to a waveform corresponding to a particular word or phoneme in the dictionary, an analysis varying based on the assigned scores to the terms identified as contextual information. | 1. A system, comprising: a processor; a single microphone configured to both record user speech and to record ambient sounds; and a speech recognition module configured to: identify that the ambient sounds are of a particular type by comparing the ambient sounds to stored waveforms; select a dictionary based on the identified particular type of ambient sounds; identify, as contextual information, terms related to the identified particular type of ambient sounds based on identification of the identified particular type of ambient sounds, the terms being generated as contextual information; alter, in response to identification of the terms related to the identified particular type of ambient sounds, the dictionary such that the dictionary includes the terms related to the identified particular type of ambient sounds; assign, in the dictionary, score values to the terms related to the identified particular type of ambient sounds based on identifying that the terms are related to the identified particular type of ambient sounds; and analyze the user speech by comparing each potential output word or phoneme in the user speech to waveforms stored for the dictionary to attempt to match the potential output word or phoneme to a waveform corresponding to a particular word or phoneme in the dictionary, an analysis varying based on the assigned scores to the terms identified as contextual information. 3. The system of claim 1 , further comprising a sensor, and wherein the contextual information includes information identified from sensor information detected by the sensor. | 0.768 |
8,224,650 | 25 | 30 | 25. A computer readable storage medium having instructions, which when executed on a computer generate client side markup for a client in a client/server system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes related to a first modality of interaction with a user of the client that being visual renderings on the client device, and the attributes including at least one of location for visual rendering, font, background color, and foreground color, and the first set of controls being related to client side markup executable by a client browser; a second set of controls defined on the authoring page for defining desired operation on the client device having attributes related to a second modality of interaction with the user of the client that being at least one of recognition and audible prompting, the second set of controls being selectively associated with the first set of controls, and the second set of controls being related to client side markup executable by a client browser, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page. | 25. A computer readable storage medium having instructions, which when executed on a computer generate client side markup for a client in a client/server system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes related to a first modality of interaction with a user of the client that being visual renderings on the client device, and the attributes including at least one of location for visual rendering, font, background color, and foreground color, and the first set of controls being related to client side markup executable by a client browser; a second set of controls defined on the authoring page for defining desired operation on the client device having attributes related to a second modality of interaction with the user of the client that being at least one of recognition and audible prompting, the second set of controls being selectively associated with the first set of controls, and the second set of controls being related to client side markup executable by a client browser, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page. 30. The computer readable storage medium of claim 25 wherein the controls relate to one of HTML, XHTML, cHTML, XML and WML. | 0.892294 |
8,078,611 | 1 | 2 | 1. A method, comprising: receiving a query to an XML document, where the XML document stores a translation for a data element; determining if the query includes identifying elements that identify the query as being configured to act on a translation-enabled database and, if the query includes identifying elements, selecting an explicit query mode that controls an XPath logic to use a normalized translation function to process the query; determining whether a terminal node in an XPath associated with the query refers to a translatable element, and if the terminal node in the XPath associated with the query is determined to refer to a translatable element, selecting an implicit query mode for querying the XML document, wherein the query is rewritten for use by a translate function; and querying the XML document using the query and the selected query mode. | 1. A method, comprising: receiving a query to an XML document, where the XML document stores a translation for a data element; determining if the query includes identifying elements that identify the query as being configured to act on a translation-enabled database and, if the query includes identifying elements, selecting an explicit query mode that controls an XPath logic to use a normalized translation function to process the query; determining whether a terminal node in an XPath associated with the query refers to a translatable element, and if the terminal node in the XPath associated with the query is determined to refer to a translatable element, selecting an implicit query mode for querying the XML document, wherein the query is rewritten for use by a translate function; and querying the XML document using the query and the selected query mode. 2. The method of claim 1 , where the query mode controls, at least in part, the operation of one or more XML-enabled database logics. | 0.778333 |
9,424,351 | 10 | 16 | 10. A method for utilizing a hybrid-distribution system for identifying relevant documents based on a search query, the method comprising: allocating a group of documents to a segment, the group of documents being indexed by atom in a reverse index and indexed by document in a forward index, atoms in the reverse index are accessed in a matching process and a preliminary ranking process and documents in the forward index are accessed in a final ranking process; storing a different portion of the reverse index and the forward index on each of a plurality of nodes that form the segment; first, accessing the reverse index portion stored on each of a first set of nodes having portions of the reverse index; identifying a first set of documents that is relevant to the search query, wherein the first set of documents is identified as being relevant to the search query by way of the matching process and the preliminary ranking process; second, based on document identifications associated with the first set of documents, accessing the forward index portion stored on each of a second set of nodes having portions of the forward index; identifying a second set of documents from the first set of documents, wherein the second set of documents is identified by way of the final ranking process; limiting a quantity of relevant documents in the first set of documents identified to the second set of documents; and communicating for presentation search results for the search query based on the second set of documents. | 10. A method for utilizing a hybrid-distribution system for identifying relevant documents based on a search query, the method comprising: allocating a group of documents to a segment, the group of documents being indexed by atom in a reverse index and indexed by document in a forward index, atoms in the reverse index are accessed in a matching process and a preliminary ranking process and documents in the forward index are accessed in a final ranking process; storing a different portion of the reverse index and the forward index on each of a plurality of nodes that form the segment; first, accessing the reverse index portion stored on each of a first set of nodes having portions of the reverse index; identifying a first set of documents that is relevant to the search query, wherein the first set of documents is identified as being relevant to the search query by way of the matching process and the preliminary ranking process; second, based on document identifications associated with the first set of documents, accessing the forward index portion stored on each of a second set of nodes having portions of the forward index; identifying a second set of documents from the first set of documents, wherein the second set of documents is identified by way of the final ranking process; limiting a quantity of relevant documents in the first set of documents identified to the second set of documents; and communicating for presentation search results for the search query based on the second set of documents. 16. The method of claim 10 , wherein the second set of documents from multiple segments are merged to generate a final set of documents that is presented to the user in response to the search query. | 0.600806 |
9,640,193 | 13 | 17 | 13. A system for improving speech perception, comprising: a first transducer for receiving a first audio signal; an analysis module configured for: detecting one or more spectral characteristics of the first audio signal, the detected one or more spectral characteristics corresponding to one or more respective non-sonorant sounds; and classifying the one or more respective non-sonorant sounds, based on the detected one or more spectral characteristics of the first audio signal; a synthesis module configured for: selecting a second audio signal from a plurality of audio signals, responsive to at least the classification of the one or more respective non-sonorant sounds; and combining at least a portion of the first audio signal with the second audio signal for output to form a combined audio signal with frequency characteristics audible to the user; and a second transducer for outputting the combined audio signal. | 13. A system for improving speech perception, comprising: a first transducer for receiving a first audio signal; an analysis module configured for: detecting one or more spectral characteristics of the first audio signal, the detected one or more spectral characteristics corresponding to one or more respective non-sonorant sounds; and classifying the one or more respective non-sonorant sounds, based on the detected one or more spectral characteristics of the first audio signal; a synthesis module configured for: selecting a second audio signal from a plurality of audio signals, responsive to at least the classification of the one or more respective non-sonorant sounds; and combining at least a portion of the first audio signal with the second audio signal for output to form a combined audio signal with frequency characteristics audible to the user; and a second transducer for outputting the combined audio signal. 17. The system of claim 13 , wherein the analysis module is further configured for classifying the one or more non-sonorant sounds in the first audio signal as belonging to a second group of one of a predetermined plurality of groups having distinct spectral characteristics, based on a spectral slope of the first audio signal exceeding a threshold and a spectral peak location of the first audio signal not exceeding a second threshold. | 0.616462 |
8,959,167 | 5 | 6 | 5. The method of claim 1 wherein a first set of the identified individuals determined to be correlated above a first specified threshold value with the initial set of designated recipients. | 5. The method of claim 1 wherein a first set of the identified individuals determined to be correlated above a first specified threshold value with the initial set of designated recipients. 6. The method of claim 5 , wherein a second set of the identified individuals determined to be correlated above a second specified threshold value with the first set of additional recipients. | 0.5 |
9,158,821 | 1 | 3 | 1. A method comprising: establishing a pool of potential matches for a user in a computer-implemented matching system, wherein each of the potential matches meet at least one criteria of the user; determining a messaging score for each of the potential matches of the pool, the messaging score indicating a messaging aptitude of the potential match; and ranking the potential matches, wherein each of the potential matches is ranked based on a similarity of the messaging score of the potential match to a messaging score of the user; wherein the messaging score for each of the potential matches comprises a combination of at least one of a number of three way interactions initiated by the potential match as compared to an average number of three way interactions initiated by other users having a similar age and same gender as the potential match, a number of messages sent by the potential match as compared to an average number of messages sent by other users having a similar age and same gender as the potential match, and a number of messages received by the potential match as compared to an average number of messages received by other users having a similar age and same gender as the potential match. | 1. A method comprising: establishing a pool of potential matches for a user in a computer-implemented matching system, wherein each of the potential matches meet at least one criteria of the user; determining a messaging score for each of the potential matches of the pool, the messaging score indicating a messaging aptitude of the potential match; and ranking the potential matches, wherein each of the potential matches is ranked based on a similarity of the messaging score of the potential match to a messaging score of the user; wherein the messaging score for each of the potential matches comprises a combination of at least one of a number of three way interactions initiated by the potential match as compared to an average number of three way interactions initiated by other users having a similar age and same gender as the potential match, a number of messages sent by the potential match as compared to an average number of messages sent by other users having a similar age and same gender as the potential match, and a number of messages received by the potential match as compared to an average number of messages received by other users having a similar age and same gender as the potential match. 3. The method of claim 1 further comprising time-weighting interactions comprising the messaging score. | 0.918898 |
8,843,466 | 46 | 52 | 46. A method performed by a system comprising one or more computers, the method comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; obtaining search results for the first search query from a search engine, each search result identifying a respective resource; for each of a plurality of the obtained search results, determining an initial score for each of a plurality of entities of the first entity type based on occurrences of names of the entity in the resource identified by the search result; generating a final score for each of the plurality of entities based on the initial scores; selecting one or more names of entities of the first entity type to include in a response to the first search query based on the final scores: and generating one or more attribute suggestions to include in the response to the search query, each attribute suggestion identifying a respective additional attribute associated with the first entity type, wherein generating the one or more attribute suggestions comprises: identifying one or more associated attributes for each of the selected entities; and selecting the associated attributes that maximally refine the selected entities as being attribute suggestions. | 46. A method performed by a system comprising one or more computers, the method comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; obtaining search results for the first search query from a search engine, each search result identifying a respective resource; for each of a plurality of the obtained search results, determining an initial score for each of a plurality of entities of the first entity type based on occurrences of names of the entity in the resource identified by the search result; generating a final score for each of the plurality of entities based on the initial scores; selecting one or more names of entities of the first entity type to include in a response to the first search query based on the final scores: and generating one or more attribute suggestions to include in the response to the search query, each attribute suggestion identifying a respective additional attribute associated with the first entity type, wherein generating the one or more attribute suggestions comprises: identifying one or more associated attributes for each of the selected entities; and selecting the associated attributes that maximally refine the selected entities as being attribute suggestions. 52. The method of claim 46 , wherein the initial score for a particular entity for a particular search result is computed based on a ranking of the particular search result and a number of occurrences of the name of the particular entity in the resource identified by the particular search result. | 0.661731 |
8,972,264 | 7 | 8 | 7. The method for utterance verification as claimed in claim 3 further comprising: calculating an overall minimum reference score, wherein the overall minimum reference is a summation of the minimum value of log-likelihood scores of the feature vector of each frame conditioned on each state of each of the model vocabularies; calculating a fourth verification score according to the optimal path score, the overall maximum reference score and the overall minimum reference score; and comparing the fourth verification score with a fourth predetermined threshold value, so as to reject or accept the recognized vocabulary. | 7. The method for utterance verification as claimed in claim 3 further comprising: calculating an overall minimum reference score, wherein the overall minimum reference is a summation of the minimum value of log-likelihood scores of the feature vector of each frame conditioned on each state of each of the model vocabularies; calculating a fourth verification score according to the optimal path score, the overall maximum reference score and the overall minimum reference score; and comparing the fourth verification score with a fourth predetermined threshold value, so as to reject or accept the recognized vocabulary. 8. The method for utterance verification as claimed in claim 7 , wherein an equation for calculating the fourth verification score is: CM 3 = ∑ t = 1 T optimal s i ∈ w m { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] - ∑ t = 1 T min s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] ∑ t = 1 T max s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] - ∑ t = 1 T min s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Prob ( o t | s i ) ) ] , wherein, t is a frame sequence number of a feature vector in the feature vector sequence, o t is a feature vector of a frame with the sequence number t, T is a total frame number of the feature vectors, s i is one of the states of a model vocabulary m, w m {s 1 , s 2 , . . . , s N m } is a set composed of the states of the model vocabulary m, M is a total number of the model vocabularies, log(Pr(o t |s i )) is a log-likelihood score of the feature vector o t obtained conditioned on the state s i , ∑ t = 1 T max s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] is the overall maximum reference score, ∑ t = 1 T optimal s i ∈ w m { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] is the optimal path score, and ∑ t = 1 T min s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Prob ( o t | s i ) ) ] is the overall minimum reference score. | 0.5 |
8,713,018 | 19 | 22 | 19. A method for clustering reference documents to generate suggestions for classification of uncoded documents, comprising the steps of: designating a set of reference documents each associated with one of a plurality of classification codes and a visual representation of that classification code comprising at least one of a shape and a symbol, wherein the visual representation of each of the classification codes is different from the visual representations of the remaining classification codes; obtaining a set of uncoded documents each associated with a visual representation different from the visual representations of the classification codes; selecting one or more of the coded reference documents and combining the one or more coded reference documents selected with the uncoded documents as a set of combined documents; grouping the combined set of documents into clusters, comprising: determining a similarity between each document; and grouping the documents into the clusters based on the similarity; identifying at least one cluster of the clusters with the coded reference documents; and visually depicting relationships between the uncoded documents and the one or more coded reference documents in the at least one cluster as suggestions for classifying the uncoded documents in that cluster, comprising displaying the visual representation associated with each of the coded reference documents in that cluster and the visual representation associated with each of the uncoded documents in that cluster, wherein the steps are performed by a suitably programmed computer. | 19. A method for clustering reference documents to generate suggestions for classification of uncoded documents, comprising the steps of: designating a set of reference documents each associated with one of a plurality of classification codes and a visual representation of that classification code comprising at least one of a shape and a symbol, wherein the visual representation of each of the classification codes is different from the visual representations of the remaining classification codes; obtaining a set of uncoded documents each associated with a visual representation different from the visual representations of the classification codes; selecting one or more of the coded reference documents and combining the one or more coded reference documents selected with the uncoded documents as a set of combined documents; grouping the combined set of documents into clusters, comprising: determining a similarity between each document; and grouping the documents into the clusters based on the similarity; identifying at least one cluster of the clusters with the coded reference documents; and visually depicting relationships between the uncoded documents and the one or more coded reference documents in the at least one cluster as suggestions for classifying the uncoded documents in that cluster, comprising displaying the visual representation associated with each of the coded reference documents in that cluster and the visual representation associated with each of the uncoded documents in that cluster, wherein the steps are performed by a suitably programmed computer. 22. A method according to claim 19 , further comprising: determining the similarity, comprising: forming a score vector for each uncoded document and each coded reference document; and calculating a similarity metric between the score vectors for the uncoded documents and coded reference documents as an inner product. | 0.65625 |
9,582,517 | 1 | 7 | 1. A system for dynamically displaying results of simultaneous two dimensional image searches initiated via a user input, the system comprising: a programmable data processor operating under control of a program to convert display commands into data entries in an array of multi-bit data characters and words, each entry of the array corresponding to a set of descriptions of the image to be displayed; and a scanned-raster display device for generating illuminated points on a display surface in response to applied data signals causing the programmable data processor to perform the following operations: maintain a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image; receive the user input comprising an annotation criterion and a selection of a color scheme from a user corresponding to a position of a slider along a color spectrum bar, wherein the selected color scheme comprises a target hue bucket; conduct a content based search by searching the first database to identify a set of images satisfying the annotation criterion, and perform the following operations for each image in the set of images: resize a given image to a predefined size before generating an image color spectrum histogram for the given image; convert red-green-blue (RGB) data for the image to luminance, chromaticity, and hue angle (LCH) data for the image; associate each channel of the LCH data with a distribution measure; generate the image color spectrum histogram for the given image using the LCH data; and conduct a color based search by adding the given image to a pool of acceptable images if a hue value of the generated image color spectrum histogram for the given image corresponds to a hue value of the target hue bucket of the color scheme; and dynamically display images in the pool of acceptable images to the user. | 1. A system for dynamically displaying results of simultaneous two dimensional image searches initiated via a user input, the system comprising: a programmable data processor operating under control of a program to convert display commands into data entries in an array of multi-bit data characters and words, each entry of the array corresponding to a set of descriptions of the image to be displayed; and a scanned-raster display device for generating illuminated points on a display surface in response to applied data signals causing the programmable data processor to perform the following operations: maintain a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image; receive the user input comprising an annotation criterion and a selection of a color scheme from a user corresponding to a position of a slider along a color spectrum bar, wherein the selected color scheme comprises a target hue bucket; conduct a content based search by searching the first database to identify a set of images satisfying the annotation criterion, and perform the following operations for each image in the set of images: resize a given image to a predefined size before generating an image color spectrum histogram for the given image; convert red-green-blue (RGB) data for the image to luminance, chromaticity, and hue angle (LCH) data for the image; associate each channel of the LCH data with a distribution measure; generate the image color spectrum histogram for the given image using the LCH data; and conduct a color based search by adding the given image to a pool of acceptable images if a hue value of the generated image color spectrum histogram for the given image corresponds to a hue value of the target hue bucket of the color scheme; and dynamically display images in the pool of acceptable images to the user. 7. The system of claim 1 , wherein the color scheme is selected by moving the slider situated on the color spectrum bar in a horizontal motion. | 0.705761 |
8,559,695 | 15 | 17 | 15. The currency processing device of claim 13 , wherein the one or more output receptacles is exactly one output receptacle. | 15. The currency processing device of claim 13 , wherein the one or more output receptacles is exactly one output receptacle. 17. The currency processing device of claim 15 , wherein the controller is configured to resume the transport mechanism in response to detecting a selection of a continuation element. | 0.658582 |
7,590,936 | 3 | 5 | 3. The method of claim 1 wherein the one or more tagged items identified as within the distance from each search result are displayed by the user interface in a window separate from a window displaying content of the electronic document. | 3. The method of claim 1 wherein the one or more tagged items identified as within the distance from each search result are displayed by the user interface in a window separate from a window displaying content of the electronic document. 5. The method of claim 3 wherein each tagged item identified as within the distance from one or more search result is displayed adjacent to the search result in the separate window. | 0.640873 |
9,292,621 | 16 | 18 | 16. A computer system comprising: at least one processor; and a memory device including instructions that, when executed by the at least one processor, cause the computing system to: determine a set of terms specific to an environment; processing each term in the set of terms using at least one text-correction algorithm to determine a subset of terms that are able to be auto-corrected by the text-correction algorithm, as well as alternative autocorrected terms for that the subset of terms that were generated by the at least one text-correction algorithm, wherein an autocorrected term is generated by auto-correcting a term using the at least one text-correction algorithm, wherein processing each term in the set of terms using the at least one text-correction algorithm includes processing each term in the set of terms with a plurality of text-correction algorithms, each text-correction algorithm being utilized by at least one type of computing device; store the autocorrected terms with the set of terms as a set of synonyms for use by at least one of an application or a service utilizing auto-correct functionality, each autocorrected term in the set of synonyms having a corresponding term, wherein the application or the service is configured to revert a first term to a term that corresponds to one of the autocorrected terms upon a determination, via the at least one processor, that the first term was auto-corrected to the one of the autocorrected terms. | 16. A computer system comprising: at least one processor; and a memory device including instructions that, when executed by the at least one processor, cause the computing system to: determine a set of terms specific to an environment; processing each term in the set of terms using at least one text-correction algorithm to determine a subset of terms that are able to be auto-corrected by the text-correction algorithm, as well as alternative autocorrected terms for that the subset of terms that were generated by the at least one text-correction algorithm, wherein an autocorrected term is generated by auto-correcting a term using the at least one text-correction algorithm, wherein processing each term in the set of terms using the at least one text-correction algorithm includes processing each term in the set of terms with a plurality of text-correction algorithms, each text-correction algorithm being utilized by at least one type of computing device; store the autocorrected terms with the set of terms as a set of synonyms for use by at least one of an application or a service utilizing auto-correct functionality, each autocorrected term in the set of synonyms having a corresponding term, wherein the application or the service is configured to revert a first term to a term that corresponds to one of the autocorrected terms upon a determination, via the at least one processor, that the first term was auto-corrected to the one of the autocorrected terms. 18. The computer system of claim 16 , wherein at least a portion of the terms in the set correspond to names specific to a provider of the computing system. | 0.81295 |
8,321,197 | 4 | 5 | 4. The automated computer based method as recited in claim 2 wherein a pre-determined sequence of color-codes are incorporated into the method of displaying the resultant category-based error analysis and evaluation whereby error relationships and frequency are easily discernible by the writer who is then able to make appropriate decisions allocating available practice time to the most critical areas for his or her personal performance characteristics. | 4. The automated computer based method as recited in claim 2 wherein a pre-determined sequence of color-codes are incorporated into the method of displaying the resultant category-based error analysis and evaluation whereby error relationships and frequency are easily discernible by the writer who is then able to make appropriate decisions allocating available practice time to the most critical areas for his or her personal performance characteristics. 5. The automated computer based method as recited in claim 4 wherein a tabular display compares each word or character element of the writing sample submitted to each corresponding word or character element of the master file with resultant non-matches noted and highlighted in the color-codes corresponding to the category based analysis. | 0.501471 |
9,558,275 | 1 | 14 | 1. A computer system, comprising: one or more processors; and one or more computer-readable media having stored thereon computer-executable instructions that are executable by the one or more processors, and that configure the computer system to provide an action frame utilizing functionality from a plurality of different network-connected computer-executable applications, including computer-executable instructions that configure the computer system to perform at least the following: identify a plurality of different network-connected computer-executable applications that are accessible to the computer system; generate an action catalog identifying, for each of the plurality of different computer-executable applications, one or more corresponding actions, including, for at least a particular computer-executable application of the plurality of different computer-executable applications: parsing one or more descriptive texts corresponding to the particular computer-executable application, to identify at least one particular action that may be provided by the particular computer-executable application; and populating the action catalog with the at least one particular action in association with the particular computer-executable application; based at least on having generated the action catalog, generate an action frame for each of the one or more actions, each action frame identifying how to invoke a fillable form at a corresponding computer-executable application to carry out a corresponding action, including, for the at least one particular action: identifying at least one fillable form of the particular computer-executable application for carrying out the at least one particular action, the at least one fillable form including one or more parameters for receiving user-supplied values to use as part of carrying out the at least one particular action; extracting the one or more parameters from the at least one fillable form; identifying at least one execution endpoint that is usable for invoking the at least one fillable form of the particular computer-executable application; and populating a particular action frame with the one or more parameters and with the at least one execution endpoint; subsequent to generating the action frame, identify a user intent to perform the least one particular action; based at least on identifying the user intent to perform the at least one particular action, identify the particular action frame; and based at least on identifying the particular action frame, invoke the least one execution endpoint over a network using at least one user-supplied value for at least one of the one or more parameters as input to the at least one fillable form. | 1. A computer system, comprising: one or more processors; and one or more computer-readable media having stored thereon computer-executable instructions that are executable by the one or more processors, and that configure the computer system to provide an action frame utilizing functionality from a plurality of different network-connected computer-executable applications, including computer-executable instructions that configure the computer system to perform at least the following: identify a plurality of different network-connected computer-executable applications that are accessible to the computer system; generate an action catalog identifying, for each of the plurality of different computer-executable applications, one or more corresponding actions, including, for at least a particular computer-executable application of the plurality of different computer-executable applications: parsing one or more descriptive texts corresponding to the particular computer-executable application, to identify at least one particular action that may be provided by the particular computer-executable application; and populating the action catalog with the at least one particular action in association with the particular computer-executable application; based at least on having generated the action catalog, generate an action frame for each of the one or more actions, each action frame identifying how to invoke a fillable form at a corresponding computer-executable application to carry out a corresponding action, including, for the at least one particular action: identifying at least one fillable form of the particular computer-executable application for carrying out the at least one particular action, the at least one fillable form including one or more parameters for receiving user-supplied values to use as part of carrying out the at least one particular action; extracting the one or more parameters from the at least one fillable form; identifying at least one execution endpoint that is usable for invoking the at least one fillable form of the particular computer-executable application; and populating a particular action frame with the one or more parameters and with the at least one execution endpoint; subsequent to generating the action frame, identify a user intent to perform the least one particular action; based at least on identifying the user intent to perform the at least one particular action, identify the particular action frame; and based at least on identifying the particular action frame, invoke the least one execution endpoint over a network using at least one user-supplied value for at least one of the one or more parameters as input to the at least one fillable form. 14. The computer system of claim 1 , also including computer-executable instructions that configure the computer system to rank execution endpoints. | 0.792135 |
7,783,486 | 2 | 4 | 2. The method of claim 1 wherein said autonomously updating a statement-response database further comprises: automatically downloading, from an online publication formatted to be in human readable form, content that matches at least one search criteria; converting said downloaded content into at least one entry suitable for use in said statement-response database; and, storing said at least one entry in said statement-response database. | 2. The method of claim 1 wherein said autonomously updating a statement-response database further comprises: automatically downloading, from an online publication formatted to be in human readable form, content that matches at least one search criteria; converting said downloaded content into at least one entry suitable for use in said statement-response database; and, storing said at least one entry in said statement-response database. 4. The method of claim 2 wherein said statement-response database includes at least one ranked-list of response entries appropriate to a statement. | 0.915614 |
8,200,663 | 39 | 41 | 39. A method, comprising: ranking, by a processor, relevance of a review item when determining that the review item is an unranked review item associated with a first search query, receiving, by the processor, a vote of at least one human searcher; presenting, to the at least one human searcher, the first search query, a review item ranked for the first search query and the review item; and providing the review items responsive to a second search query in an order based on the ranking when determining that the second search query matches the first search query. | 39. A method, comprising: ranking, by a processor, relevance of a review item when determining that the review item is an unranked review item associated with a first search query, receiving, by the processor, a vote of at least one human searcher; presenting, to the at least one human searcher, the first search query, a review item ranked for the first search query and the review item; and providing the review items responsive to a second search query in an order based on the ranking when determining that the second search query matches the first search query. 41. The method of claim 39 , wherein of said review items, review items ranked high are determined to be most relevant for said second search query. | 0.5 |
6,163,773 | 1 | 7 | 1. A method of training a neural network to evaluate cached datasets, where dataset accesses are logged as dataset entries of a dataset access log, the method comprising: designating multiple predetermined event triggers, each trigger comprising a predetermined event occurring in association with any one of the datasets contained in the cache; in response to the occurrence of an event trigger, the event trigger occurring at a trigger time and in association with a first dataset represented in the dataset access log, consulting the dataset access log to identify a latest access time of the first dataset; establishing one or more training times in an interval from the trigger time to the latest access time; for each training time, storing selected training input including characteristics of the first dataset in a training record, the characteristics having been exhibited by the first dataset at the training time and also storing training output including a representation of value provided by having the first dataset present in the cache to satisfy future requests for access to the first dataset; and according to a predetermined schedule, providing the training input from the training record as input to a single output back propagation neural network yielding a neural network output, and training the neural network according to any difference between the training output and the neural network output. | 1. A method of training a neural network to evaluate cached datasets, where dataset accesses are logged as dataset entries of a dataset access log, the method comprising: designating multiple predetermined event triggers, each trigger comprising a predetermined event occurring in association with any one of the datasets contained in the cache; in response to the occurrence of an event trigger, the event trigger occurring at a trigger time and in association with a first dataset represented in the dataset access log, consulting the dataset access log to identify a latest access time of the first dataset; establishing one or more training times in an interval from the trigger time to the latest access time; for each training time, storing selected training input including characteristics of the first dataset in a training record, the characteristics having been exhibited by the first dataset at the training time and also storing training output including a representation of value provided by having the first dataset present in the cache to satisfy future requests for access to the first dataset; and according to a predetermined schedule, providing the training input from the training record as input to a single output back propagation neural network yielding a neural network output, and training the neural network according to any difference between the training output and the neural network output. 7. The method of claim 1, the method further comprising: operating the trained neural network to determine values of having respective cached datasets present in the cache to satisfy future requests for access to the datasets and rank the cached datasets according to the determined values; and removing one or more cached datasets having the lowest ranks from the cache. | 0.65197 |
10,062,300 | 1 | 23 | 1. A modular learning device comprising of: a base board having a frame with plurality of sides, a complementary joining construction on sides of the base board, a front plane, a rear plane, a network of tracks having a spinal track, several dormant tracks, several solution tracks, several parking tracks, the dormant tracks and the parking tracks and the solution tracks are connected to the spinal track, a recess, wherein some parking tracks are also solution tracks; a plurality of sliding blocks having a tread, a stopper and a shaft, the shaft having a first end and a second end; and a plurality of wisdom cards having an identifier section, a margin having up to same number of sides as the base board, a plurality of zones in the margin, a middle area and corresponding solutions in the zones randomly, a solution code for problems or situations, each wisdom card containing different problems or situations on a plurality of subjects, an indicator for each problem or situation, wherein the indicator is a hint or a prompt to arrive at correct provided solution; different base boards unifiable by the complementary joining construction on the sides of the base board, the plurality of wisdom cards mounted, either one at a time, or in combination, one in each recess of the base board, the plurality of sliding blocks mounted on the base board with the head on the front plane of the base board and the stopper on the rear plane of the base board, the plurality of sliding blocks can move freely in the network of tracks and cannot get dislodged unless the stopper is separated or manoeuvred using a minimum force. | 1. A modular learning device comprising of: a base board having a frame with plurality of sides, a complementary joining construction on sides of the base board, a front plane, a rear plane, a network of tracks having a spinal track, several dormant tracks, several solution tracks, several parking tracks, the dormant tracks and the parking tracks and the solution tracks are connected to the spinal track, a recess, wherein some parking tracks are also solution tracks; a plurality of sliding blocks having a tread, a stopper and a shaft, the shaft having a first end and a second end; and a plurality of wisdom cards having an identifier section, a margin having up to same number of sides as the base board, a plurality of zones in the margin, a middle area and corresponding solutions in the zones randomly, a solution code for problems or situations, each wisdom card containing different problems or situations on a plurality of subjects, an indicator for each problem or situation, wherein the indicator is a hint or a prompt to arrive at correct provided solution; different base boards unifiable by the complementary joining construction on the sides of the base board, the plurality of wisdom cards mounted, either one at a time, or in combination, one in each recess of the base board, the plurality of sliding blocks mounted on the base board with the head on the front plane of the base board and the stopper on the rear plane of the base board, the plurality of sliding blocks can move freely in the network of tracks and cannot get dislodged unless the stopper is separated or manoeuvred using a minimum force. 23. The modular learning device as claimed in claim 1 , wherein the solution code is a set of colour bars. | 0.844118 |
9,053,097 | 1 | 20 | 1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device. | 1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device. 20. A method according to claim 1 , wherein automatically establishing the cross-language communication session comprises establishing the cross-language communication session only if the first wireless communication device is physically proximate the second wireless communication device. | 0.842421 |
7,599,861 | 1 | 8 | 1. A system comprising: a) a processor; b) a computer memory connected to said processor containing one or more models utilized to process a customer interaction, said customer interaction comprising: i) one or more statements made by a customer; ii) one or more prompts played for said customer; c) a set of computer executable instructions stored in said computer memory and configured to: i) coordinate processing of the customer interaction; ii) maintain a set of context information related to said customer interaction; iii) create a data record comprising information related to said customer interaction from said set of context information; iv) store information from said data record in said computer memory; v) utilize information from said data record stored in said computer memory, along with information from a plurality of other data records comprising context information gathered during a plurality of interactions with other customers, to automatically create one or more model updates without involvement from a human being; vi) automatically update one or more of said models using one or more of said model updates without involvement from a human being; wherein the set of computer executable instructions is configured to automatically update one or more of said models using one or more of said model updates without involvement from a human being in response to a trigger, wherein said trigger comprises at least one element selected from the group consisting of: i) a usage milestone, wherein the usage milestone is a trigger condition based at least in part on number of interactions processed by the system; ii) the creation of the one or more model updates; and iii) a schedule, wherein the schedule is a trigger condition based at least in part on elapsed time. | 1. A system comprising: a) a processor; b) a computer memory connected to said processor containing one or more models utilized to process a customer interaction, said customer interaction comprising: i) one or more statements made by a customer; ii) one or more prompts played for said customer; c) a set of computer executable instructions stored in said computer memory and configured to: i) coordinate processing of the customer interaction; ii) maintain a set of context information related to said customer interaction; iii) create a data record comprising information related to said customer interaction from said set of context information; iv) store information from said data record in said computer memory; v) utilize information from said data record stored in said computer memory, along with information from a plurality of other data records comprising context information gathered during a plurality of interactions with other customers, to automatically create one or more model updates without involvement from a human being; vi) automatically update one or more of said models using one or more of said model updates without involvement from a human being; wherein the set of computer executable instructions is configured to automatically update one or more of said models using one or more of said model updates without involvement from a human being in response to a trigger, wherein said trigger comprises at least one element selected from the group consisting of: i) a usage milestone, wherein the usage milestone is a trigger condition based at least in part on number of interactions processed by the system; ii) the creation of the one or more model updates; and iii) a schedule, wherein the schedule is a trigger condition based at least in part on elapsed time. 8. The system of claim 1 wherein said set of computer executable instructions is further configured to determine at least one word included in a statement from said one or more customer statements. | 0.863194 |
9,047,565 | 1 | 6 | 1. A plant development knowledge system comprising: an assembly database storing a plurality of assembly objects, each of the assembly objects representative of a plant construction component and having an available context; and an inference engine coupled with the assembly database and comprising a modifiable inference module having inference rules, and configured to: infer a specified context from attributes of a construction project, wherein the specified context defines one or more design elements within one or more external tools; select an assembly object from the plurality of assembly objects that is related to the construction project according to the inference rules, the specified context, and the available context; instantiate a construction object that is representative of a physical construction object from the assembly object by deriving at least one physical attribute of the instantiated construction object based on at least one of the inference rule the specified context and the available context, wherein the least one physical attribute of the instantiated construction object corresponds to at least one physical dimension of the physical construction object; and configure an external tool to incorporate the instantiated construction object into a construction project model related to the specified context. | 1. A plant development knowledge system comprising: an assembly database storing a plurality of assembly objects, each of the assembly objects representative of a plant construction component and having an available context; and an inference engine coupled with the assembly database and comprising a modifiable inference module having inference rules, and configured to: infer a specified context from attributes of a construction project, wherein the specified context defines one or more design elements within one or more external tools; select an assembly object from the plurality of assembly objects that is related to the construction project according to the inference rules, the specified context, and the available context; instantiate a construction object that is representative of a physical construction object from the assembly object by deriving at least one physical attribute of the instantiated construction object based on at least one of the inference rule the specified context and the available context, wherein the least one physical attribute of the instantiated construction object corresponds to at least one physical dimension of the physical construction object; and configure an external tool to incorporate the instantiated construction object into a construction project model related to the specified context. 6. The system of claim 1 , wherein the modifiable inference module comprises a case-based-reasoning rules set. | 0.740566 |
8,095,365 | 16 | 19 | 16. A non-transitory computer-readable medium storing a computer program having instructions for generating a lexicon for use with speech recognition, the instructions comprising: receiving symbolic input as labeled speech data; overgenerating potential pronunciations based on the symbolic input, wherein the overgenerating comprises: establishing a set of conversion rules; and converting portions of the symbolic input into a number of possible lexical pronunciation variants based on the set of conversion rules; identifying potential pronunciations in a speech recognition context to yield identified potential pronunciations; and storing the identified potential pronunciations in a lexicon. | 16. A non-transitory computer-readable medium storing a computer program having instructions for generating a lexicon for use with speech recognition, the instructions comprising: receiving symbolic input as labeled speech data; overgenerating potential pronunciations based on the symbolic input, wherein the overgenerating comprises: establishing a set of conversion rules; and converting portions of the symbolic input into a number of possible lexical pronunciation variants based on the set of conversion rules; identifying potential pronunciations in a speech recognition context to yield identified potential pronunciations; and storing the identified potential pronunciations in a lexicon. 19. The non-transitory computer-readable medium of claim 16 , wherein speech data is labeled implicitly. | 0.782427 |
8,768,852 | 5 | 7 | 5. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, perform acts comprising: determining a statistically improbable phrase that appears in a source, the statistically improbable phrase appearing in the source more than a threshold number of times; determining words that compose the statistically improbable phrase; determining phrases that are associated with at least one of the determined words; and providing at least a portion of the determined phrases for selection by a user for association with an aspect of an account of the user. | 5. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, perform acts comprising: determining a statistically improbable phrase that appears in a source, the statistically improbable phrase appearing in the source more than a threshold number of times; determining words that compose the statistically improbable phrase; determining phrases that are associated with at least one of the determined words; and providing at least a portion of the determined phrases for selection by a user for association with an aspect of an account of the user. 7. One or more non-transitory computer-readable media as recited in claim 5 , wherein the determining of the phrases comprises analyzing an index that maps multiple words to one or more phrases. | 0.807157 |
4,846,693 | 11 | 17 | 11. An interactive video-based instructional and entertainment system, comprising: a picture and sound presentation provided by a video and audio signal source containing digital control data embedded in said video signal; a television set capable of displaying said picture presentation; a microprocessor controller receiving said embedded data; a manually actuable keyboard connected to said microprocessor; at least one animated figure having at least one articulated component capable of motion and where said motion is related to said control data; a first loudspeaker located internal to said animated figure, where said loudspeaker reproduces at least a portion of said sound presentation and where said portion is selected by said microprocessor in response to said digital control data and to entries to said manually actuable keyboard by a human participant; a second loudspeaker located intenal to said system, where said second loudspeaker reproduces said portion of the sound presentation not delivered by said first loudspeaker; whereby said system allows real-time interaction between said animated figure and at least one said human participant using said keyboard to respond to said video and sound presentation and to said loudspeaker reproductions; and where said real-time interaction results from selective playback of said portions of said sound source. | 11. An interactive video-based instructional and entertainment system, comprising: a picture and sound presentation provided by a video and audio signal source containing digital control data embedded in said video signal; a television set capable of displaying said picture presentation; a microprocessor controller receiving said embedded data; a manually actuable keyboard connected to said microprocessor; at least one animated figure having at least one articulated component capable of motion and where said motion is related to said control data; a first loudspeaker located internal to said animated figure, where said loudspeaker reproduces at least a portion of said sound presentation and where said portion is selected by said microprocessor in response to said digital control data and to entries to said manually actuable keyboard by a human participant; a second loudspeaker located intenal to said system, where said second loudspeaker reproduces said portion of the sound presentation not delivered by said first loudspeaker; whereby said system allows real-time interaction between said animated figure and at least one said human participant using said keyboard to respond to said video and sound presentation and to said loudspeaker reproductions; and where said real-time interaction results from selective playback of said portions of said sound source. 17. The system of claim 11, wherein said animated component is a limb of said animated figure. | 0.591304 |
9,633,109 | 1 | 2 | 1. A computer-implemented method of constructing a search query in an electronic commerce environment, the method comprising: receiving, over a communications network, a search query from a user through a user interface of a user computing device; identifying a plurality of search terms within the search query, each of the plurality of search terms including at least a portion of the search query; executing the search query to generate search results including a list of merchandise items relevant to the search query; sending instructions to the user computing device to provide a graphical indication to the user in the user interface, neighboring the search query, graphically identifying one of the plurality of search terms from among the plurality of search terms; receiving, over the communication network, an indication of a selection, by the user, of a search term from among the plurality of search terms; generating, based at least in part on the search term, one or more alternative search terms that are each different from the search term; sending, over the communication network, instructions to the user computing device indicating the one or more alternative search terms to the user computing device; generating a plurality of search category selectors based, at least in part, on the search query, each of the plurality of search category selectors being categorically representative, at least in part, of one or more properties of a merchandise item and representing a list of one or more additional search terms in a different category of search terms, search terms in each list of one or more additional search terms being distinct from the search category selector representing the list, at least one of the plurality of search category selectors being inactive; and sending instructions to the user computing device to simultaneously display the plurality of search category selectors to the user in the user interface, and upon receipt of a selection of one of the plurality of search category selectors, sending instructions to the user computing device to display, to the user in the user interface, one or more additional search terms represented by the one of the one or more search category selectors with the plurality of search category selectors and with images representing the merchandise items in the list of merchandise items, wherein at least one of the plurality of search category selectors displayed in the user interface is inactive. | 1. A computer-implemented method of constructing a search query in an electronic commerce environment, the method comprising: receiving, over a communications network, a search query from a user through a user interface of a user computing device; identifying a plurality of search terms within the search query, each of the plurality of search terms including at least a portion of the search query; executing the search query to generate search results including a list of merchandise items relevant to the search query; sending instructions to the user computing device to provide a graphical indication to the user in the user interface, neighboring the search query, graphically identifying one of the plurality of search terms from among the plurality of search terms; receiving, over the communication network, an indication of a selection, by the user, of a search term from among the plurality of search terms; generating, based at least in part on the search term, one or more alternative search terms that are each different from the search term; sending, over the communication network, instructions to the user computing device indicating the one or more alternative search terms to the user computing device; generating a plurality of search category selectors based, at least in part, on the search query, each of the plurality of search category selectors being categorically representative, at least in part, of one or more properties of a merchandise item and representing a list of one or more additional search terms in a different category of search terms, search terms in each list of one or more additional search terms being distinct from the search category selector representing the list, at least one of the plurality of search category selectors being inactive; and sending instructions to the user computing device to simultaneously display the plurality of search category selectors to the user in the user interface, and upon receipt of a selection of one of the plurality of search category selectors, sending instructions to the user computing device to display, to the user in the user interface, one or more additional search terms represented by the one of the one or more search category selectors with the plurality of search category selectors and with images representing the merchandise items in the list of merchandise items, wherein at least one of the plurality of search category selectors displayed in the user interface is inactive. 2. The computer-implemented method of claim 1 , further comprising modifying the search query by substituting the search term with at least one of the one or more alternative search terms in response to a single action received from the user via the user interface of the user computing device, the modified search query to include the at least one of the one or more alternative search terms, the single action including receiving and accepting, from the user computing device, an input from the user that selects the at least one of the one or more alternative search terms. | 0.5 |
9,484,014 | 16 | 20 | 16. A non-transitory computer-readable storage medium storing processor-executable instructions for controlling a computing device, comprising: program code to receive text data; program code to determine a sequence of linguistic units corresponding to the text data, the sequence of linguistic units comprising a first linguistic unit and a second linguistic unit; program code to generate a representation of the first linguistic unit using a model for the first linguistic unit and a first parametric speech synthesis technique, wherein the first parametric speech synthesis technique comprises synthesizing speech using a computerized voice generator; program code to retrieve a pre-recorded speech unit for the second linguistic unit from a unit selection database, wherein the pre-recorded speech unit comprises recorded speech configured with acoustic properties consistent with speech generated by the first parametric speech synthesis technique; program code to concatenate the representation of the first linguistic unit and the pre-recorded speech unit for the second linguistic unit to generate audio data; and program code to cause audio corresponding to the audio data to be output using an audio speaker. | 16. A non-transitory computer-readable storage medium storing processor-executable instructions for controlling a computing device, comprising: program code to receive text data; program code to determine a sequence of linguistic units corresponding to the text data, the sequence of linguistic units comprising a first linguistic unit and a second linguistic unit; program code to generate a representation of the first linguistic unit using a model for the first linguistic unit and a first parametric speech synthesis technique, wherein the first parametric speech synthesis technique comprises synthesizing speech using a computerized voice generator; program code to retrieve a pre-recorded speech unit for the second linguistic unit from a unit selection database, wherein the pre-recorded speech unit comprises recorded speech configured with acoustic properties consistent with speech generated by the first parametric speech synthesis technique; program code to concatenate the representation of the first linguistic unit and the pre-recorded speech unit for the second linguistic unit to generate audio data; and program code to cause audio corresponding to the audio data to be output using an audio speaker. 20. The non-transitory computer-readable storage medium of claim 16 , wherein the unit selection database comprises a plurality of pre-recorded speech units and wherein selection of the plurality of pre-recorded speech units is based at least in part on a quality of a representation of a corresponding linguistic unit using the parametric speech synthesis technique. | 0.5 |
8,521,757 | 1 | 4 | 1. A computer implemented method of processing electronic documents, comprising: analyzing text content of the electronic documents to identify whether each of the electronic documents matches any of a plurality of predefined document templates, wherein one or more of the electronic documents conforms to a structure of at least one of the plurality of predefined document templates, and wherein the step of analyzing comprises executing at least one machine learning algorithm, the at least one machine learning algorithm trained using at least one sample electronic document having a predefined template; generating a template index that relates at least one of the electronic documents with at least one of the plurality of predefined document templates based at least in part upon an identified match between the at least one of the electronic documents and the at least one of the plurality of predefined document templates; generating a search query using at least one of the plurality of predefined document templates as at least one search parameter; searching an archive having the electronic documents using the template index to locate one or more of the electronic documents that match the at least one predefined document template of the search query; and providing access to the one or more of the electronic documents that match the at least one predefined document template of the search query. | 1. A computer implemented method of processing electronic documents, comprising: analyzing text content of the electronic documents to identify whether each of the electronic documents matches any of a plurality of predefined document templates, wherein one or more of the electronic documents conforms to a structure of at least one of the plurality of predefined document templates, and wherein the step of analyzing comprises executing at least one machine learning algorithm, the at least one machine learning algorithm trained using at least one sample electronic document having a predefined template; generating a template index that relates at least one of the electronic documents with at least one of the plurality of predefined document templates based at least in part upon an identified match between the at least one of the electronic documents and the at least one of the plurality of predefined document templates; generating a search query using at least one of the plurality of predefined document templates as at least one search parameter; searching an archive having the electronic documents using the template index to locate one or more of the electronic documents that match the at least one predefined document template of the search query; and providing access to the one or more of the electronic documents that match the at least one predefined document template of the search query. 4. The method of claim 1 , further comprising: generating a list including at least one of the electronic documents that does not match any of the plurality of predefined document templates. | 0.654545 |
6,016,395 | 1 | 21 | 1. A method for creating a computer program on a computer readable media for execution by a vector processor, the method comprising: a computer system reading a computer program written in a superset of C programming language, wherein the C programming language defines a plurality of operations and does not specify for each operation in said plurality how the operation is to be implemented in the vector processor, the computer program further including: a declaration of a value having a vector type, the vector type being part of a programming model of the vector processor, the vector type being distinct from an array type included in the C programming language; and a first operation having the vector type value as an operand, the first operation corresponding to a vector processor instruction VPI1 that can be executed by the vector processor and that has at least a vector operand; and the computer system generating one or more vector processor instructions that together implement the first operation, the one or more instructions including one or more VPI1 instructions. | 1. A method for creating a computer program on a computer readable media for execution by a vector processor, the method comprising: a computer system reading a computer program written in a superset of C programming language, wherein the C programming language defines a plurality of operations and does not specify for each operation in said plurality how the operation is to be implemented in the vector processor, the computer program further including: a declaration of a value having a vector type, the vector type being part of a programming model of the vector processor, the vector type being distinct from an array type included in the C programming language; and a first operation having the vector type value as an operand, the first operation corresponding to a vector processor instruction VPI1 that can be executed by the vector processor and that has at least a vector operand; and the computer system generating one or more vector processor instructions that together implement the first operation, the one or more instructions including one or more VPI1 instructions. 21. The method of claim 1, wherein: the first operation is a shift operation with a scalar operand s that indicates the number of bits to be shifted, and the shift operation being selected from a group consisting of left shift and right shift. | 0.732967 |
9,836,462 | 1 | 17 | 1. A method of providing a document service according to a service level agreement, the method involving a device comprising a hardware processor, and the method comprising: executing, by the processor, instructions that cause the device to; for each different and distinct respective service feature of at least two service features of the document service, provide at least two candidate components wherein each candidate component comprises a different set of service feature capabilities than other candidate components; and fulfill a request to provide the document service according to the service level agreement by selecting a particular service component for each respective service feature of the at least two service features of the document service, wherein the selecting the particular service component comprising: identifying a capability for the service feature that is specified by the service level agreement for the document service, and among the candidate components for the service feature, identifying a service component that provides the service feature with the capability that is specified by the service level agreement for the service feature; and composing the selected particular service components for the respective at least two service features to provide the document service. | 1. A method of providing a document service according to a service level agreement, the method involving a device comprising a hardware processor, and the method comprising: executing, by the processor, instructions that cause the device to; for each different and distinct respective service feature of at least two service features of the document service, provide at least two candidate components wherein each candidate component comprises a different set of service feature capabilities than other candidate components; and fulfill a request to provide the document service according to the service level agreement by selecting a particular service component for each respective service feature of the at least two service features of the document service, wherein the selecting the particular service component comprising: identifying a capability for the service feature that is specified by the service level agreement for the document service, and among the candidate components for the service feature, identifying a service component that provides the service feature with the capability that is specified by the service level agreement for the service feature; and composing the selected particular service components for the respective at least two service features to provide the document service. 17. The method of claim 1 , wherein the instructions further configured to, upon receiving an updated service level agreement while using a current service level agreement: identify at least one updated service feature for which the updated service level agreement specifies at least one updated service criterion of the updated service feature as compared with the at least one service criterion of a current service level agreement; and for respective updated service features: reevaluate respective candidate components for the updated service feature; and upon identifying a second candidate component exhibiting service characteristics satisfying the at least one updated service criterion specified by the updated service level agreement for the updated service feature, substitute the second candidate component for the particular service component in the document service. | 0.531416 |
9,569,729 | 1 | 6 | 1. A non-transient computer readable medium for causing a computer to perform the method of: allowing the computer to receive an at least one body of data associated with an organization, where the at least one body of data is comprised of being an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records' contextual data; where the application of the analytics engine is further comprised of the step of labeling elements of the at least one body of data with tags and other types of metadata; determining with an analytics engine, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes; applying the analytics engine for assessing properties being an at least one from the group of credibility, sincerity, objectivity, and knowledgeableness of authors; determining with the analytics engine an at least one of the group of stability level, engagement levels, energy levels, organizational character, and culture properties; determining the informational value property of data items; applying the analytics engine for determining engagement and energy levels, where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions; assessing organizational culture and character, assessing an at least one abstract trait; where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities. | 1. A non-transient computer readable medium for causing a computer to perform the method of: allowing the computer to receive an at least one body of data associated with an organization, where the at least one body of data is comprised of being an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records' contextual data; where the application of the analytics engine is further comprised of the step of labeling elements of the at least one body of data with tags and other types of metadata; determining with an analytics engine, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes; applying the analytics engine for assessing properties being an at least one from the group of credibility, sincerity, objectivity, and knowledgeableness of authors; determining with the analytics engine an at least one of the group of stability level, engagement levels, energy levels, organizational character, and culture properties; determining the informational value property of data items; applying the analytics engine for determining engagement and energy levels, where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions; assessing organizational culture and character, assessing an at least one abstract trait; where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities. 6. The computer readable medium of claim 1 where the method is further comprised of a step of assessing informational value properties to determine actionable suggestions and determine observations of the organization. | 0.832308 |
6,065,026 | 1 | 14 | 1. A method of generating electronic documents, comprising: maintaining a library of textual components, displaying a first textual document including a first plurality of the textual components in a word processor window, responding to user input by a first user to an interface of the work processor to edit the first textual document while the document is displayed in the word processor window, maintaining a database of marks identifying each of the components within the document displayed in the word processor window, displaying a second textual document including a second plurality of the textual components in a word processor window, responding to user input by a second user to the interface of the word processor to edit the second textural document including a second plurality of the textual components the first plurality including one or more textual components from the second plurality, detecting when one of the textual components that belongs to both the first plurality of textual components and the second plurality of textual components is updated in one of the first and second textual documents, prompting the user of the other of the first and second textual documents to accept or reject changes made to the one of the textual components, in response to the step of updating, generating in response to user input to the interface of the word processor a second version of the first textual document that includes textual components that were updated in the step of updating, and generating in response to user input to the interface of the word processor a second version of the second textual document that includes textual components that were updated in the step of updating. | 1. A method of generating electronic documents, comprising: maintaining a library of textual components, displaying a first textual document including a first plurality of the textual components in a word processor window, responding to user input by a first user to an interface of the work processor to edit the first textual document while the document is displayed in the word processor window, maintaining a database of marks identifying each of the components within the document displayed in the word processor window, displaying a second textual document including a second plurality of the textual components in a word processor window, responding to user input by a second user to the interface of the word processor to edit the second textural document including a second plurality of the textual components the first plurality including one or more textual components from the second plurality, detecting when one of the textual components that belongs to both the first plurality of textual components and the second plurality of textual components is updated in one of the first and second textual documents, prompting the user of the other of the first and second textual documents to accept or reject changes made to the one of the textual components, in response to the step of updating, generating in response to user input to the interface of the word processor a second version of the first textual document that includes textual components that were updated in the step of updating, and generating in response to user input to the interface of the word processor a second version of the second textual document that includes textual components that were updated in the step of updating. 14. The method of claim 1 further including a step of responding to user input to the interface of the word processor to flag text in the documents. | 0.757377 |
10,127,569 | 1 | 9 | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to create a service instance based on a provider function for calculating a service order, the creating comprising: defining a structured set of metadata for the provider function, the structured set of metadata defining one or more variants that select a fulfillment pattern, the fulfillment pattern comprising a process flow declaration that includes one or more fulfillment functions of the fulfillment pattern and sets dependencies between pairs of fulfillment functions that impose an ordered priority of execution of the one or more fulfillment functions, and including metadata retrieved from a technical catalog; defining a transformation sequence, based on the metadata for the provider function, comprising customizable process logic for the provider function, wherein the customizable process logic is structured within one or more stages configured to generate the service order; dynamically generating a runtime process flow for the provider function based on the metadata and the transformation sequence, the dynamically generating including selecting at least one fulfillment pattern from the one or more fulfillment patterns based on at least one entity from one or more entities comprised in the metadata and at least one discriminator from one or more discriminators comprised in the metadata; and generating a fulfillment flow based on the at least one selected fulfillment pattern; calculating the service order with customer-facing service order line objects and referring to an entity as its subject based on the fulfillment flow, wherein the metadata comprises the entity that defines a capability that is provided, and wherein the entity comprises one or more child entities; designing a configuration for the entity, wherein the configuration comprises the entity, the one or more child entities, and one or more relationships between the entity and the one or more child entities; creating, for each child entity, a design context comprising a reference to both a parent entity and one or more sub-components, wherein each child entity is a subject for the design context and wherein each subject comprises either a customer order, service order or a technical order; and designing, for each child entity, an instance of the child entity using a corresponding design context. | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to create a service instance based on a provider function for calculating a service order, the creating comprising: defining a structured set of metadata for the provider function, the structured set of metadata defining one or more variants that select a fulfillment pattern, the fulfillment pattern comprising a process flow declaration that includes one or more fulfillment functions of the fulfillment pattern and sets dependencies between pairs of fulfillment functions that impose an ordered priority of execution of the one or more fulfillment functions, and including metadata retrieved from a technical catalog; defining a transformation sequence, based on the metadata for the provider function, comprising customizable process logic for the provider function, wherein the customizable process logic is structured within one or more stages configured to generate the service order; dynamically generating a runtime process flow for the provider function based on the metadata and the transformation sequence, the dynamically generating including selecting at least one fulfillment pattern from the one or more fulfillment patterns based on at least one entity from one or more entities comprised in the metadata and at least one discriminator from one or more discriminators comprised in the metadata; and generating a fulfillment flow based on the at least one selected fulfillment pattern; calculating the service order with customer-facing service order line objects and referring to an entity as its subject based on the fulfillment flow, wherein the metadata comprises the entity that defines a capability that is provided, and wherein the entity comprises one or more child entities; designing a configuration for the entity, wherein the configuration comprises the entity, the one or more child entities, and one or more relationships between the entity and the one or more child entities; creating, for each child entity, a design context comprising a reference to both a parent entity and one or more sub-components, wherein each child entity is a subject for the design context and wherein each subject comprises either a customer order, service order or a technical order; and designing, for each child entity, an instance of the child entity using a corresponding design context. 9. The non-transitory computer-readable medium of claim 1 , wherein at least one child entity of the one or more child entities is a parent of another child entity of the one or more child entities. | 0.87625 |
8,554,760 | 1 | 3 | 1. A computer-implemented method of optimizing a query, comprising: receiving a first query configured to generate a result set, wherein the first query comprises an operation for an outer table, a first predicate, and a second predicate comprising a subquery correlating an inner table to the outer table, wherein the first predicate and the second predicate are disjunctive, wherein the subquery comprises an operation for the inner table and a correlation predicate correlating the inner table and the outer table, and wherein the second query comprises a left outer join operation between the inner table and the outer table using the correlation predicate; generating a first query tree representing the first query; generating a second query tree representing a second query configured to generate the result set, wherein the second query does not comprise the subquery, and wherein the second query comprises a group by operation configured to generate one row for each row in the outer table, and wherein the group by operation comprises a having clause comprising the first predicate and the second predicate; and generating a query plan based on the second query tree. | 1. A computer-implemented method of optimizing a query, comprising: receiving a first query configured to generate a result set, wherein the first query comprises an operation for an outer table, a first predicate, and a second predicate comprising a subquery correlating an inner table to the outer table, wherein the first predicate and the second predicate are disjunctive, wherein the subquery comprises an operation for the inner table and a correlation predicate correlating the inner table and the outer table, and wherein the second query comprises a left outer join operation between the inner table and the outer table using the correlation predicate; generating a first query tree representing the first query; generating a second query tree representing a second query configured to generate the result set, wherein the second query does not comprise the subquery, and wherein the second query comprises a group by operation configured to generate one row for each row in the outer table, and wherein the group by operation comprises a having clause comprising the first predicate and the second predicate; and generating a query plan based on the second query tree. 3. The method recited in claim 1 , wherein the one row comprises a null value for the inner table, and wherein the second predicate is not null-rejecting. | 0.676471 |
9,058,362 | 2 | 3 | 2. The apparatus of claim 1 , wherein said search engine checks if the predicted search query provided by the recommendation engine needs further refining. | 2. The apparatus of claim 1 , wherein said search engine checks if the predicted search query provided by the recommendation engine needs further refining. 3. The apparatus of claim 2 , wherein a decision for further refining of the search query provided by the recommendation engine is made by the user who has entered the search query; wherein, if further refinement is to be done, said search engine informs a refinement engine. | 0.546205 |
9,830,516 | 15 | 17 | 15. The non-transitory computer-readable medium according to claim 13 , further comprising instructions for: receiving a training dataset including an egocentric video, wherein the training dataset is pre-segmented based on the predefined activity label that corresponds to the at least one user activity having a predefined time length; extracting a plurality of low-level features from the training dataset based on the predefined feature categories; partitioning the training dataset into a plurality of overlapping segments of predefined durations; defining a plurality of subsets, each including a distinct combination of overlapping segments from the plurality of overlapping segments based on a duration of the distinct combination being less than half of the predefined time length; determining a set of low-level features that belongs to the plurality of subsets, wherein the set is derived from the extracted plurality of low-level features; grouping the plurality of subsets into one or more clusters based on the determined set of low-level features, wherein the one or more clusters include at least one centroid that forms a bag including a plurality of instances; comparing each of the plurality of instances with the predefined activity label; assigning the bag with a positive value if the comparison is positive for at least one of the plurality of instances, or with a negative value if the comparison is negative for all the one or more instances; and training the predefined activity model using the assigned value of the bag based on the multiple instance learning (MIL) based classifier, wherein the activity model corresponds to the at least one user activity in the training dataset. | 15. The non-transitory computer-readable medium according to claim 13 , further comprising instructions for: receiving a training dataset including an egocentric video, wherein the training dataset is pre-segmented based on the predefined activity label that corresponds to the at least one user activity having a predefined time length; extracting a plurality of low-level features from the training dataset based on the predefined feature categories; partitioning the training dataset into a plurality of overlapping segments of predefined durations; defining a plurality of subsets, each including a distinct combination of overlapping segments from the plurality of overlapping segments based on a duration of the distinct combination being less than half of the predefined time length; determining a set of low-level features that belongs to the plurality of subsets, wherein the set is derived from the extracted plurality of low-level features; grouping the plurality of subsets into one or more clusters based on the determined set of low-level features, wherein the one or more clusters include at least one centroid that forms a bag including a plurality of instances; comparing each of the plurality of instances with the predefined activity label; assigning the bag with a positive value if the comparison is positive for at least one of the plurality of instances, or with a negative value if the comparison is negative for all the one or more instances; and training the predefined activity model using the assigned value of the bag based on the multiple instance learning (MIL) based classifier, wherein the activity model corresponds to the at least one user activity in the training dataset. 17. The non-transitory computer-readable medium according to claim 15 , wherein the centroid represents a variant of the determined set of low-level features. | 0.50625 |
8,930,210 | 9 | 10 | 9. A non-transitory computer-readable storage medium encoded with a plurality of computer executable instructions that, when executed by a computer, perform a method comprising: receiving a selection of an electronic template; generating a medical report for a patient based, at least in part, on the selected template; receiving speech for entering information into a portion of the medical report corresponding to at least one section in the selected template; invoking at least one voice macro based, at least in part, on at least a portion of the received speech, wherein the at least one voice macro when invoked, instructs at least one processor to enter predetermined text associated with the at least one voice macro into the portion of the medical report and embed in the medical report, medical billing code data corresponding to the at least one voice macro; identifying at least one ambiguity in the medical billing code data; and resolving the at least one ambiguity in the medical billing code data based, at least in part, on information selected from the group consisting of previously-stored personal data associated with the patient, previously-stored condition information associated with the patient, and medical examination information entered into the selected template. | 9. A non-transitory computer-readable storage medium encoded with a plurality of computer executable instructions that, when executed by a computer, perform a method comprising: receiving a selection of an electronic template; generating a medical report for a patient based, at least in part, on the selected template; receiving speech for entering information into a portion of the medical report corresponding to at least one section in the selected template; invoking at least one voice macro based, at least in part, on at least a portion of the received speech, wherein the at least one voice macro when invoked, instructs at least one processor to enter predetermined text associated with the at least one voice macro into the portion of the medical report and embed in the medical report, medical billing code data corresponding to the at least one voice macro; identifying at least one ambiguity in the medical billing code data; and resolving the at least one ambiguity in the medical billing code data based, at least in part, on information selected from the group consisting of previously-stored personal data associated with the patient, previously-stored condition information associated with the patient, and medical examination information entered into the selected template. 10. The computer-readable storage medium of claim 9 , wherein embedding the medical billing code data comprises associating at least one hidden tag with the medical report, wherein the at least one hidden tag indicates the medical billing code data. | 0.621581 |
8,027,943 | 17 | 18 | 17. The method of claim 12 , wherein the first group of user profiles is selected from profiles of social network users based on a calculated probability that each social network user will respond to an invitation. | 17. The method of claim 12 , wherein the first group of user profiles is selected from profiles of social network users based on a calculated probability that each social network user will respond to an invitation. 18. The method of claim 17 , wherein the calculated probability of each user responding to the invitation is determined using a probability function having as input keywords in the profile of the user. | 0.56681 |
4,366,553 | 3 | 5 | 3. Electronic computing apparatus as in claims 1 or 2 wherein each of the alphanumeric keys of the keyboard input means is representative of a single alphabetic or numeric character or an arithmetic operator, the plurality of alphanumeric keys being operative for entering every alphabetic character of a selected alphabet, every numeric character from zero through nine, and selected arithmetic operators. | 3. Electronic computing apparatus as in claims 1 or 2 wherein each of the alphanumeric keys of the keyboard input means is representative of a single alphabetic or numeric character or an arithmetic operator, the plurality of alphanumeric keys being operative for entering every alphabetic character of a selected alphabet, every numeric character from zero through nine, and selected arithmetic operators. 5. Electronic computing apparatus as in claim 3 wherein the keyboard input means includes additional control keys for controlling the computing apparatus. | 0.5 |
8,069,027 | 2 | 3 | 2. The word alignment apparatus according to claim 1 , wherein the alignment calculator calculates an association degree between the words with reference to corpus statistic information. | 2. The word alignment apparatus according to claim 1 , wherein the alignment calculator calculates an association degree between the words with reference to corpus statistic information. 3. The word alignment apparatus according to claim 2 , wherein an association degree Ass(c, j) is calculated in an expression (A), where “c” denotes the word in the first language, “j” denotes the word in the second language, “a” denotes a co-occurrence frequency between a word “c” and a word “j”, freq(c) denotes an occurrence frequency of the word “c”, and freq(j) denotes the occurrence frequency of the word “j” [ Expression ( A ) ] Ass ( c , j ) = Ass 1 ( c , j ) = a freq ( c ) + a freq ( j ) . | 0.5 |
8,214,401 | 10 | 14 | 10. A computer-readable storage medium storing a plurality of instructions for controlling a processor to generate an ontology, the plurality of instructions comprising: instructions that cause the processor to receive input information in a first format; instructions that cause the processor to annotate the input information to generate annotated input information, wherein: the instructions that cause the processor to annotate the input information comprise instructions that cause the processor to add a first set of annotations and a second set of annotations to the input information; the first set of annotations is comprised of relationships between a plurality of entities present in the input information; and the second set of annotations is comprised of annotations that can be used to generate a set of explicit business rules for the purposes of a specific organization, wherein: the input information comprises an XSD file and an XML file; annotating the input information comprises generating an annotated XSD file and an annotated XML file; and wherein the instructions that cause the processor to generate the ontology comprises: instructions that cause the processor to convert the annotated XSD file to an OWL schema file; and instructions that cause the processor to convert the annotated XML file to an OWL instance file based upon the OWL schema file; and instructions that cause the processor to generate, based upon the annotated input information, an ontology encoded in a second format, wherein the second format is different from the first format. | 10. A computer-readable storage medium storing a plurality of instructions for controlling a processor to generate an ontology, the plurality of instructions comprising: instructions that cause the processor to receive input information in a first format; instructions that cause the processor to annotate the input information to generate annotated input information, wherein: the instructions that cause the processor to annotate the input information comprise instructions that cause the processor to add a first set of annotations and a second set of annotations to the input information; the first set of annotations is comprised of relationships between a plurality of entities present in the input information; and the second set of annotations is comprised of annotations that can be used to generate a set of explicit business rules for the purposes of a specific organization, wherein: the input information comprises an XSD file and an XML file; annotating the input information comprises generating an annotated XSD file and an annotated XML file; and wherein the instructions that cause the processor to generate the ontology comprises: instructions that cause the processor to convert the annotated XSD file to an OWL schema file; and instructions that cause the processor to convert the annotated XML file to an OWL instance file based upon the OWL schema file; and instructions that cause the processor to generate, based upon the annotated input information, an ontology encoded in a second format, wherein the second format is different from the first format. 14. The computer-readable storage medium of claim 10 wherein the instructions that cause the processor to generate an ontology comprise instructions that cause the processor to generate a set of one or more rules based upon the annotated input information. | 0.505792 |
8,423,366 | 1 | 19 | 1. A method comprising: receiving, by a system, a voicemail associated with a user; transcribing, by the system, the voicemail into text that includes a group of words; storing, by the system, an association between a portion of each respective word from the group of words and a corresponding portion of the voicemail, wherein the corresponding portion of the voicemail is the portion of the voicemail from which the portion of the respective word was transcribed; generating, by the system, a voiceprint from the voicemail; comparing, by the system, the voiceprint to voiceprints generated from previously received voicemails; identifying, by the system, based at least in part on the comparison and a portion of the voiceprints generated from the previously received voicemails, at least one matching voiceprint; selecting, by the system, based at least in part on the at least one matching voiceprint, a speech synthesis voice associated with the user; and determining, by the system, a modification to the speech synthesis voice associated with the user based at least in part on the association between the portion of each respective word from the group of words and the corresponding portion of the voicemail. | 1. A method comprising: receiving, by a system, a voicemail associated with a user; transcribing, by the system, the voicemail into text that includes a group of words; storing, by the system, an association between a portion of each respective word from the group of words and a corresponding portion of the voicemail, wherein the corresponding portion of the voicemail is the portion of the voicemail from which the portion of the respective word was transcribed; generating, by the system, a voiceprint from the voicemail; comparing, by the system, the voiceprint to voiceprints generated from previously received voicemails; identifying, by the system, based at least in part on the comparison and a portion of the voiceprints generated from the previously received voicemails, at least one matching voiceprint; selecting, by the system, based at least in part on the at least one matching voiceprint, a speech synthesis voice associated with the user; and determining, by the system, a modification to the speech synthesis voice associated with the user based at least in part on the association between the portion of each respective word from the group of words and the corresponding portion of the voicemail. 19. The method of claim 1 , wherein the system is a portable computing device. | 0.969048 |
7,526,424 | 45 | 48 | 45. The system of claim 1 wherein the global movement component is configured to determine whether each child node is to be moved to depend from a different ancestor node and, if so, re-ordering the child node to depend from the different ancestor node. | 45. The system of claim 1 wherein the global movement component is configured to determine whether each child node is to be moved to depend from a different ancestor node and, if so, re-ordering the child node to depend from the different ancestor node. 48. The system of claim 45 wherein the global movement component is configured to identify raising verbs and raise subjects of the identified raising verbs. | 0.796345 |
9,146,957 | 9 | 10 | 9. The web server of claim 8 , further comprising: an ActiveRecord Query domain specific language unit configured to transform the query into an ActiveRecord query domain specific language abstract syntax tree. | 9. The web server of claim 8 , further comprising: an ActiveRecord Query domain specific language unit configured to transform the query into an ActiveRecord query domain specific language abstract syntax tree. 10. The web server of claim 9 , further comprising a user controller class, a user class, an activity controller class, an activity class, an item controller class, and an item class. | 0.5 |
7,958,451 | 4 | 5 | 4. A computer memory device containing processor readable instructions for causing an information processor to display a graphical user interface for presenting a plurality of information sources to a user, the graphical user interface comprising: a first display region for displaying a plurality of information value spaces, each information value space comprising: a first object representing a first information source that provides content over the Internet, a plurality of base word labels, each base word label comprising text representing a guidepost data displayed in the graphical user interface; a plurality of display objects, each display objects corresponding to one of the base word labels, wherein the first object and the plurality of display objects are displayed relative to an observation point arbitrarily fixed in a visual display space according to the input of a user, the first objet and the plurality of objects being displayed at specific display locations depending on a correlation between the content available from the information source, guidepost data being represented, and the observation point arbitrarily fixed in a visual display space according to the input of the user so that when input from the user is received, the display locations of the first object and the plurality of display objects are altered in the graphical user interface to maintain the correlation between the content available from the first information source and the guidepost data being represented and displayed in the graphical user interface, wherein a brightness of a display object indicates a relevance of the information source to the guidepost data, the most relevant being the brightest and; wherein activity of the first information source is indicated by a rotation speed of the first object; and a second display region for displaying one selected information value space. | 4. A computer memory device containing processor readable instructions for causing an information processor to display a graphical user interface for presenting a plurality of information sources to a user, the graphical user interface comprising: a first display region for displaying a plurality of information value spaces, each information value space comprising: a first object representing a first information source that provides content over the Internet, a plurality of base word labels, each base word label comprising text representing a guidepost data displayed in the graphical user interface; a plurality of display objects, each display objects corresponding to one of the base word labels, wherein the first object and the plurality of display objects are displayed relative to an observation point arbitrarily fixed in a visual display space according to the input of a user, the first objet and the plurality of objects being displayed at specific display locations depending on a correlation between the content available from the information source, guidepost data being represented, and the observation point arbitrarily fixed in a visual display space according to the input of the user so that when input from the user is received, the display locations of the first object and the plurality of display objects are altered in the graphical user interface to maintain the correlation between the content available from the first information source and the guidepost data being represented and displayed in the graphical user interface, wherein a brightness of a display object indicates a relevance of the information source to the guidepost data, the most relevant being the brightest and; wherein activity of the first information source is indicated by a rotation speed of the first object; and a second display region for displaying one selected information value space. 5. The computer memory device according to claim 4 , wherein the selected information value space is rotatable and movable in the second display region. | 0.748344 |
8,527,494 | 1 | 2 | 1. An article of manufacture including a non-transitory computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to: receive a user request at a client computing device, the user request comprising a search query with one or more keywords; identify one or more verbs and nouns in the search query; based on the identified one or more verbs and nouns and a context of the user, execute the search query at one or more server computing devices to obtain a list of tools, wherein each tool is included in a corresponding service running in the one or more server computing devices and the list of tools are associated with one or more functionalities; based on the identified nouns and the context of the user, rank the list of the tools; display the ranked list of tools on a user interface; receive a selection of a tool from the displayed list of tools; and create a tool instance corresponding to the selected tool, wherein the tool instance represents a proxy to a service including the selected tool and a handler in the tool instance manages ongoing interaction with the selected tool and provides a reference to a library class that manages the lifecycle of the created tool instance. | 1. An article of manufacture including a non-transitory computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to: receive a user request at a client computing device, the user request comprising a search query with one or more keywords; identify one or more verbs and nouns in the search query; based on the identified one or more verbs and nouns and a context of the user, execute the search query at one or more server computing devices to obtain a list of tools, wherein each tool is included in a corresponding service running in the one or more server computing devices and the list of tools are associated with one or more functionalities; based on the identified nouns and the context of the user, rank the list of the tools; display the ranked list of tools on a user interface; receive a selection of a tool from the displayed list of tools; and create a tool instance corresponding to the selected tool, wherein the tool instance represents a proxy to a service including the selected tool and a handler in the tool instance manages ongoing interaction with the selected tool and provides a reference to a library class that manages the lifecycle of the created tool instance. 2. The article of manufacture in claim 1 , wherein the context of the user is determined by the user request. | 0.798148 |
8,515,786 | 1 | 4 | 1. A rule generation system to generate rules for a computer program, the system comprising: a processor; a memory storage device comprising a computer program, the computer program comprising instructions executable with the processor, the instructions comprising: an evaluative expression parameter module configured to generate a graphical user interface for creation of a navigation rule, the navigation rule being indicative of whether to navigate from a first page of the computer program to a second page of the computer program; the evaluative expression parameter module further configured to receive an expression parameter, a logical operator, and at least one expression parameter value from the graphical user interface in response to user input via the graphical user interface at runtime, the expression parameter identifying a question displayed on the first page of the computer program, the at least one expression parameter value including at least one potential answer to the question, wherein the expression parameter and the at least one expression parameter value are operands of the logical operator; an evaluative expression generator configured to generate the navigation rule, the navigation rule including a combination of a first evaluative expression and a second evaluative expression, the first evaluative expression comprising the expression parameter, the operator, and the at least one expression parameter value; instructions executable with the processor to store the first and second evaluative expressions in a database; instructions executable with the processor to receive an answer to the question displayed on the first page from user input at runtime; instructions executable with the processor to evaluate the first and second evaluative expressions retrieved from the database at runtime, the expression parameter set to the answer in the evaluation of the first evaluative expression; and instructions executable with the processor to navigate to the second page from the first page at runtime based on the evaluation of the first and second evaluative expressions retrieved from the database. | 1. A rule generation system to generate rules for a computer program, the system comprising: a processor; a memory storage device comprising a computer program, the computer program comprising instructions executable with the processor, the instructions comprising: an evaluative expression parameter module configured to generate a graphical user interface for creation of a navigation rule, the navigation rule being indicative of whether to navigate from a first page of the computer program to a second page of the computer program; the evaluative expression parameter module further configured to receive an expression parameter, a logical operator, and at least one expression parameter value from the graphical user interface in response to user input via the graphical user interface at runtime, the expression parameter identifying a question displayed on the first page of the computer program, the at least one expression parameter value including at least one potential answer to the question, wherein the expression parameter and the at least one expression parameter value are operands of the logical operator; an evaluative expression generator configured to generate the navigation rule, the navigation rule including a combination of a first evaluative expression and a second evaluative expression, the first evaluative expression comprising the expression parameter, the operator, and the at least one expression parameter value; instructions executable with the processor to store the first and second evaluative expressions in a database; instructions executable with the processor to receive an answer to the question displayed on the first page from user input at runtime; instructions executable with the processor to evaluate the first and second evaluative expressions retrieved from the database at runtime, the expression parameter set to the answer in the evaluation of the first evaluative expression; and instructions executable with the processor to navigate to the second page from the first page at runtime based on the evaluation of the first and second evaluative expressions retrieved from the database. 4. The rule generation system of claim 1 , wherein the evaluative expression parameter module is further configured to generate a second graphical user interface that includes a name of the navigation rule selectable for inclusion in evaluative expressions of rules other than the navigation rule; and the evaluative expression parameter module is further configured to receive an expiration date for the navigation rule from the first graphical user interface in response to user input, and the expiration date indicates when the evaluative expression parameter module stops including the navigation rule in the second graphical user interface. | 0.5 |
7,739,615 | 11 | 12 | 11. In a computer comprised of keyboard, mouse, and display, a method of changing the color of text typed from the keyboard comprising the steps of: (a) selecting, from a set of possible text colors provided by a computer, a subset of text colors for use in a document to be generated by typing on the keyboard; (b) assigning a text color selected from the subset of text colors to each key in a set of selected keys to generate the selected text colors by programming each key to type the selected color, each programmed key generating a different selected text color by typing on the programmed key; (c) displaying each programmed key with a color indicia indicative of the color of that key; and (d) changing the color of the text of the document by typing the programmed keyboard key without using the mouse. | 11. In a computer comprised of keyboard, mouse, and display, a method of changing the color of text typed from the keyboard comprising the steps of: (a) selecting, from a set of possible text colors provided by a computer, a subset of text colors for use in a document to be generated by typing on the keyboard; (b) assigning a text color selected from the subset of text colors to each key in a set of selected keys to generate the selected text colors by programming each key to type the selected color, each programmed key generating a different selected text color by typing on the programmed key; (c) displaying each programmed key with a color indicia indicative of the color of that key; and (d) changing the color of the text of the document by typing the programmed keyboard key without using the mouse. 12. A method as defined in claim 11 , and further comprising the step of changing the selected text color programmed for a key in the set of selected keys. | 0.585561 |
9,697,198 | 1 | 15 | 1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation. | 1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation. 15. The method of claim 1 , wherein the data source comprises a social media source, and wherein the current data comprises a data interaction of the remote participant with the social media source. | 0.759709 |
7,925,525 | 10 | 14 | 10. A system to determine a time to send a reminder for an appointment, the system comprising: a processor; a participant locator using the processor in determining locations of a user and an appointment; a travel time estimator using the processor in determining an estimate of time needed to travel from the determined user location to the determined appointment location; a reminder time generator using the processor in determining a first reminder time at which a reminder notification is to be issued based on the estimated travel time and working hours of the user; and when the first reminder time for the reminder is outside of the working hours of the user: automatically adjusting the first reminder time to a time during a previous day and automatically creating a second reminder time that is issued in addition to the first reminder for the appointment. | 10. A system to determine a time to send a reminder for an appointment, the system comprising: a processor; a participant locator using the processor in determining locations of a user and an appointment; a travel time estimator using the processor in determining an estimate of time needed to travel from the determined user location to the determined appointment location; a reminder time generator using the processor in determining a first reminder time at which a reminder notification is to be issued based on the estimated travel time and working hours of the user; and when the first reminder time for the reminder is outside of the working hours of the user: automatically adjusting the first reminder time to a time during a previous day and automatically creating a second reminder time that is issued in addition to the first reminder for the appointment. 14. The system of claim 10 further comprising an interface to an alert service through which the reminder time generator can receive alert information that can affect the reminder time. | 0.5 |
7,620,885 | 18 | 19 | 18. A computer-readable memory encoded with one or more computer programs for aggregating and bundling electronic documents related to computer system solution having a plurality of computing components, the computer programs is configured to: provide to a computing platform having a hardware means for executing a logical process; provide a solution building wizard of said computer platform having a plurality of configurable behavioral models associated with a system solution design, each of the configurable behavioral models is associated with a class or type of each of the components of the system solution, a plurality of configured instantiations of said behavioral models, each of configured instantiations has been previously configured to contain one or more behavioral parameters and one or more interface parameters to represent configured behavioral model instances, wherein each of the configured behavioral model instances has been configured according to a set of user inputs to define connection logic pairs or groups of said model instances; verifying configuration completion of said behavioral parameters and interface parameters for each configured behavioral model instances using a documentation retriever portion of said computer platform cooperative with said solution building wizard; determine by accessing at least one data repository and based on said verifying, that one or more electronic documents are available for each behavioral model instance; request and retrieve said available electronic documents from said electronic document storage repository, including at least one properties file of each of the components and available related source code documents; aggregate said retrieved electronic documents into an electronically deliverable document bundle; and transmit said document bundle to a customer. | 18. A computer-readable memory encoded with one or more computer programs for aggregating and bundling electronic documents related to computer system solution having a plurality of computing components, the computer programs is configured to: provide to a computing platform having a hardware means for executing a logical process; provide a solution building wizard of said computer platform having a plurality of configurable behavioral models associated with a system solution design, each of the configurable behavioral models is associated with a class or type of each of the components of the system solution, a plurality of configured instantiations of said behavioral models, each of configured instantiations has been previously configured to contain one or more behavioral parameters and one or more interface parameters to represent configured behavioral model instances, wherein each of the configured behavioral model instances has been configured according to a set of user inputs to define connection logic pairs or groups of said model instances; verifying configuration completion of said behavioral parameters and interface parameters for each configured behavioral model instances using a documentation retriever portion of said computer platform cooperative with said solution building wizard; determine by accessing at least one data repository and based on said verifying, that one or more electronic documents are available for each behavioral model instance; request and retrieve said available electronic documents from said electronic document storage repository, including at least one properties file of each of the components and available related source code documents; aggregate said retrieved electronic documents into an electronically deliverable document bundle; and transmit said document bundle to a customer. 19. The computer readable memory as set forth in claim 18 wherein: said computer program configured to retrieve documents comprises computer program configured to retrieve a document using a protocol selected from a group comprising Lightweight Directory Access Protocol and Structured Query Language request; said computer program configured to aggregate documents comprises computer program configured to produce a bundle selected from a group comprising an electronic archive file, a cabinet file, a ZIP file, Portable Document File, an eXtensible Markup Language file, and to convert a retrieved document from an alternate format to a Unicode format; and said computer program configured to aggregate documents comprises computer program configured to organize said documents according to a scheme selected from a group comprising partial path information associated with each document wherein the electronic documents are organized an a hierarchical schema to ease location of a desired document by a user, by component type, by vendor, by product name, and by installed platform designation, and a hierarchical schema in a computer file system stored in a server accessible by a linked protocol including producing a guide page which includes browser-executable links to said stored documents. | 0.5 |
9,477,759 | 15 | 20 | 15. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a query, wherein the query is associated at least in part with a type of entity; generating search results based at least in part on the query; ranking the search results based on relevance to the query; retrieving previously generated data associated with at least one search result of the search results, the previously generated data comprising one or more entity references in the at least one search result corresponding to the type of entity; determining, based on the relevance to the query, a subset of the ranked search results that are above a first predetermined ranking threshold; determining, for each entity reference, a weighted sum of the frequencies of occurrence of the entity reference in each search result in the subset of ranked search results, wherein the weighted sum normalizes the frequency of occurrence of each respective entity reference for each previously generated data; ranking the one or more entity references based on the respective weighted sums; selecting an entity result from the one or more entity references based at least in part on the ranking of the one or more entity references; and providing an answer to the query based at least in part on the entity result. | 15. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a query, wherein the query is associated at least in part with a type of entity; generating search results based at least in part on the query; ranking the search results based on relevance to the query; retrieving previously generated data associated with at least one search result of the search results, the previously generated data comprising one or more entity references in the at least one search result corresponding to the type of entity; determining, based on the relevance to the query, a subset of the ranked search results that are above a first predetermined ranking threshold; determining, for each entity reference, a weighted sum of the frequencies of occurrence of the entity reference in each search result in the subset of ranked search results, wherein the weighted sum normalizes the frequency of occurrence of each respective entity reference for each previously generated data; ranking the one or more entity references based on the respective weighted sums; selecting an entity result from the one or more entity references based at least in part on the ranking of the one or more entity references; and providing an answer to the query based at least in part on the entity result. 20. The computer-readable medium of claim 15 , wherein the operations performed by the one or more processors further comprise determining a topicality score of each respective entity reference based on the number of links to and from the respective previously generated data. | 0.815754 |
8,793,119 | 1 | 4 | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog process, a set of allowed dialog actions and a set of contextual features; outputting allowed dialog actions from the conventional dialog process to the partially observable Markov decision process; selecting an optimal action from the set of allowed dialog actions using a machine learning algorithm to yield a selected optimal action; generating a response based on the selected optimal action at each turn in the dialog. | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog process, a set of allowed dialog actions and a set of contextual features; outputting allowed dialog actions from the conventional dialog process to the partially observable Markov decision process; selecting an optimal action from the set of allowed dialog actions using a machine learning algorithm to yield a selected optimal action; generating a response based on the selected optimal action at each turn in the dialog. 4. The method of claim 1 , wherein the set of allowed dialog actions incorporates a set of business rules. | 0.558333 |
8,605,868 | 19 | 20 | 19. A method for interactive voice response mapping used in a transaction between a waiting party and a queuing party, the queuing party having a queuing calling system (QCS), the method comprising communicating with the QCS and extracting navigational information from the QCS and at least partially generating an IVR map of the QCS, and further performing map validation by comparing the IVR map with extracted navigational information, and determining if a certain threshold of matching is not met. | 19. A method for interactive voice response mapping used in a transaction between a waiting party and a queuing party, the queuing party having a queuing calling system (QCS), the method comprising communicating with the QCS and extracting navigational information from the QCS and at least partially generating an IVR map of the QCS, and further performing map validation by comparing the IVR map with extracted navigational information, and determining if a certain threshold of matching is not met. 20. The method of claim 19 , further comprising at least partially correcting the IVR map when the certain threshold of matching is not met. | 0.76431 |
8,000,957 | 12 | 14 | 12. The computer program product of claim 11 , further comprising the step of providing a template for the overall structure of the at least one grammatically valid plain-language sentence. | 12. The computer program product of claim 11 , further comprising the step of providing a template for the overall structure of the at least one grammatically valid plain-language sentence. 14. The computer program product of claim 12 , wherein the templates are hierarchical in structure, the templates being configured to generate clauses, and sub-clauses that are comprised within the clauses, the clauses and sub-clauses of the template being used to construct plain-language sentences. | 0.587912 |
10,037,321 | 1 | 2 | 1. A computing device comprising: a memory configured to store computer-executable instructions; and a processor in communication with the memory configured to execute the computer-executable instructions to at least: determine, by the computing device, at least a portion of a text string associated with a story; determine, by the computing device, a linguistic element in the text string; analyze, by the computing device, at least one action in the text string by comparing the linguistic element in the text string to a story complexity that comprises an identification of a linear or non-linear story flow; and determine, by the computing device, a maturity level associated with the portion of the text string based on the analysis by at least: determining a violence rating for a particular character in the portion of the text string; and adjusting the maturity level of the portion of the text string to a greater maturity level based in part on the violence rating for the particular character in the portion of the text string. | 1. A computing device comprising: a memory configured to store computer-executable instructions; and a processor in communication with the memory configured to execute the computer-executable instructions to at least: determine, by the computing device, at least a portion of a text string associated with a story; determine, by the computing device, a linguistic element in the text string; analyze, by the computing device, at least one action in the text string by comparing the linguistic element in the text string to a story complexity that comprises an identification of a linear or non-linear story flow; and determine, by the computing device, a maturity level associated with the portion of the text string based on the analysis by at least: determining a violence rating for a particular character in the portion of the text string; and adjusting the maturity level of the portion of the text string to a greater maturity level based in part on the violence rating for the particular character in the portion of the text string. 2. The computing device of claim 1 , wherein the analysis further comprises comparing the linguistic element with a data store of mature vocabulary. | 0.882353 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.