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7,599,844 | 1 | 2 | 1. A method in a computing system, comprising: receiving scan information of textual portions of a rendered document as generated by a scanner operated by a user; receiving identification information associated with the user from the scanner operated by the user; when the received identification information is associated with billing information: searching for digital content based on the received scan information; sending results of the search to the user; and billing the user based on the billing information. | 1. A method in a computing system, comprising: receiving scan information of textual portions of a rendered document as generated by a scanner operated by a user; receiving identification information associated with the user from the scanner operated by the user; when the received identification information is associated with billing information: searching for digital content based on the received scan information; sending results of the search to the user; and billing the user based on the billing information. 2. The method of claim 1 , wherein the user is billed in response to sending the results of the search to the user. | 0.735023 |
9,563,424 | 19 | 22 | 19. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving in a processor having a first execution mode and a different second execution mode, a program that has an initial machine language instruction for execution by the processor in the first execution mode, wherein the initial machine language instruction, when executed by the processor in the first execution mode, performs a first operation; determining, by an instruction selector of a plugin configured to execute the program on the processor, that a portion of the initial machine language instruction, when the portion is interpreted by the processor as an instruction in the second execution mode, causes the processor to perform a second operation that is different from the first operation and that satisfies one or more risk criteria; in response, generating, by the instruction selector of the plugin, one or more alternative machine language instructions to replace the initial machine language instruction for execution by the processor in the first execution mode, wherein the one or more alternative machine language instructions, when interpreted by the processor as instructions in the first execution mode, cause the processor to perform a third operation that is similar to the first operation, and wherein the one or more alternative machine language instructions, when interpreted by the processor as one or more instructions in the different second execution mode, cause the processor to perform a fourth operation that is different from the second operation and that does not satisfy the one or more risk criteria of the second operation being performed by the processor when the portion of the initial machine language instruction is interpreted as an instruction in the second execution mode; and replacing, by the instruction selector of the plugin, the initial machine language instruction with the one or more alternative machine language instructions in the program. | 19. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving in a processor having a first execution mode and a different second execution mode, a program that has an initial machine language instruction for execution by the processor in the first execution mode, wherein the initial machine language instruction, when executed by the processor in the first execution mode, performs a first operation; determining, by an instruction selector of a plugin configured to execute the program on the processor, that a portion of the initial machine language instruction, when the portion is interpreted by the processor as an instruction in the second execution mode, causes the processor to perform a second operation that is different from the first operation and that satisfies one or more risk criteria; in response, generating, by the instruction selector of the plugin, one or more alternative machine language instructions to replace the initial machine language instruction for execution by the processor in the first execution mode, wherein the one or more alternative machine language instructions, when interpreted by the processor as instructions in the first execution mode, cause the processor to perform a third operation that is similar to the first operation, and wherein the one or more alternative machine language instructions, when interpreted by the processor as one or more instructions in the different second execution mode, cause the processor to perform a fourth operation that is different from the second operation and that does not satisfy the one or more risk criteria of the second operation being performed by the processor when the portion of the initial machine language instruction is interpreted as an instruction in the second execution mode; and replacing, by the instruction selector of the plugin, the initial machine language instruction with the one or more alternative machine language instructions in the program. 22. The computer program product of claim 19 , wherein determining that the portion of the initial machine language instruction satisfies the one or more risk criteria comprises determining that the portion of the machine language instruction when executed by the processor in the second execution mode comprises an unsafe load or store instruction. | 0.687835 |
9,602,605 | 8 | 27 | 8. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code that comprises: a module configured to maintain a user account and a set of connections to other users of the social networking system for each of a plurality of users of a social networking system; a formatting module configured to: receive a sharing request for sharing content from a web page, the sharing request initiated by a sharing user via a sharing control outside of the social networking system and received by the social networking system; responsive to initiation of the sharing request via the sharing control, provide an interface to the sharing user enabling the sharing user to provide sharing parameters, the interface served to the sharing user by a server of the social networking system; and receiving from the sharing user via the interface a request and one or more sharing parameters for communicating the content from the web page to one or more other users of the social networking system; and a transmission module configured to: transmit a communication containing at least a portion of the content to one or more other users with whom the sharing user has established a connection using one or more communication channels of the social networking system subject to the one or more sharing parameters. | 8. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code that comprises: a module configured to maintain a user account and a set of connections to other users of the social networking system for each of a plurality of users of a social networking system; a formatting module configured to: receive a sharing request for sharing content from a web page, the sharing request initiated by a sharing user via a sharing control outside of the social networking system and received by the social networking system; responsive to initiation of the sharing request via the sharing control, provide an interface to the sharing user enabling the sharing user to provide sharing parameters, the interface served to the sharing user by a server of the social networking system; and receiving from the sharing user via the interface a request and one or more sharing parameters for communicating the content from the web page to one or more other users of the social networking system; and a transmission module configured to: transmit a communication containing at least a portion of the content to one or more other users with whom the sharing user has established a connection using one or more communication channels of the social networking system subject to the one or more sharing parameters. 27. The computer program product of claim 8 , wherein the transmitted communication comprises an element enabling a viewer to re-share the content. | 0.873494 |
7,788,089 | 1 | 4 | 1. A computer-implemented method for classifying an end-of-line hyphen as either a soft-hyphen that has been inserted into the word for typesetting purposes or a hard-hyphen that belongs in the word, comprising: performing in a computer programmed to perform particular functions pursuant to instructions from program software operations comprising: searching a document for a word that contains an end-of-line hyphen; creating a solution set for the word containing the end-of-line hyphen, wherein each solution in the solution set is obtained by identifying the end-of-line hyphen as either a soft-hyphen that has been inserted into the word for typesetting purposes or a hard-hyphen that belongs in the word, wherein the solution set is stored in memory of a computer system; searching a dictionary for each solution in the solution set; and using the results from the dictionary search to identify the end-of-line hyphen as either a soft-hyphen or a hard-hyphen. | 1. A computer-implemented method for classifying an end-of-line hyphen as either a soft-hyphen that has been inserted into the word for typesetting purposes or a hard-hyphen that belongs in the word, comprising: performing in a computer programmed to perform particular functions pursuant to instructions from program software operations comprising: searching a document for a word that contains an end-of-line hyphen; creating a solution set for the word containing the end-of-line hyphen, wherein each solution in the solution set is obtained by identifying the end-of-line hyphen as either a soft-hyphen that has been inserted into the word for typesetting purposes or a hard-hyphen that belongs in the word, wherein the solution set is stored in memory of a computer system; searching a dictionary for each solution in the solution set; and using the results from the dictionary search to identify the end-of-line hyphen as either a soft-hyphen or a hard-hyphen. 4. The computer-implemented method of claim 1 , wherein the result of the dictionary search is to find more than one solution in the solution set, the method further comprising: prompting a user to manually resolve the end-of-line hyphen as either a soft-hyphen or a hard-hyphen. | 0.501786 |
8,788,259 | 1 | 10 | 1. A computer-implemented method comprising: obtaining a set of language indicators that comprises an indication of a language used by a second user that is socially connected to a first user, each language indicator related to a language potentially preferred by the first user; by a processor, applying a set of rules to the language indicators to obtain a set of preferred languages for the first user, the set of preferred languages being ordered according to a determined likelihood that each language is the first user's primary preferred language; and localizing a first application based upon the highest-order preferred language. | 1. A computer-implemented method comprising: obtaining a set of language indicators that comprises an indication of a language used by a second user that is socially connected to a first user, each language indicator related to a language potentially preferred by the first user; by a processor, applying a set of rules to the language indicators to obtain a set of preferred languages for the first user, the set of preferred languages being ordered according to a determined likelihood that each language is the first user's primary preferred language; and localizing a first application based upon the highest-order preferred language. 10. The method of claim 1 , further comprising the step of modifying the set of rules based upon a comparison of the set of preferred languages obtained for the first user to a primary preferred language identified by the first user. | 0.752128 |
6,018,749 | 1 | 6 | 1. A method of generating a new document from a source text document and a source image document, comprising the steps of: (1) accessing said source text document and said source image document; (2) at least partially paginating said source text document with said source image document to produce at least partial pagination information; and (3) generating said new document using said at least partial pagination information, wherein said new document is an equivalent text file comprising one or more of (A)-(M): (A) information representing an approximate arrangement of at least some bibliographic data as represented in said source image document, (B) information that effectively provides an association between at least a portion of said source text document and at least a portion of said source image document, (C) special character information specifying at least one mapping of a group of characters in said source text document to at least one special character in said source image document, (D) column information representing at least an approximate arrangement of text in columns, (E) line information representing at least an approximate arrangement of text in lines, (F) line number information representing approximate line numbers of lines, (G) section information representing at least approximate positions of sections, (H) font information representing font styles of characters, (I) font size information representing font sizes of characters, (J) superscript information indicating characters that are represented using superscripts, (K) subscript information indicating characters that are represented using subscripts, (L) bold attribute information indicating characters that are bolded, and (M) italicized attribute information indicating characters that are italicized. | 1. A method of generating a new document from a source text document and a source image document, comprising the steps of: (1) accessing said source text document and said source image document; (2) at least partially paginating said source text document with said source image document to produce at least partial pagination information; and (3) generating said new document using said at least partial pagination information, wherein said new document is an equivalent text file comprising one or more of (A)-(M): (A) information representing an approximate arrangement of at least some bibliographic data as represented in said source image document, (B) information that effectively provides an association between at least a portion of said source text document and at least a portion of said source image document, (C) special character information specifying at least one mapping of a group of characters in said source text document to at least one special character in said source image document, (D) column information representing at least an approximate arrangement of text in columns, (E) line information representing at least an approximate arrangement of text in lines, (F) line number information representing approximate line numbers of lines, (G) section information representing at least approximate positions of sections, (H) font information representing font styles of characters, (I) font size information representing font sizes of characters, (J) superscript information indicating characters that are represented using superscripts, (K) subscript information indicating characters that are represented using subscripts, (L) bold attribute information indicating characters that are bolded, and (M) italicized attribute information indicating characters that are italicized. 6. The method of claim 1, wherein step (3) comprises the step of: using text from at least a portion of said source text document and at least part of said at least partial pagination information to generate at least a portion of said new document. | 0.890363 |
9,843,668 | 7 | 9 | 7. A system for determining a number of authorized and unauthorized participants of a telephone conversation, the system comprising: at least one processor configured to: continuously sample voice data from the telephone conversation; analyze the sampled voice data using biometric voice identification to identify one or more unique voiceprints; compare each of the identified one or more unique voiceprints to a first registered voiceprint of a resident of a facility and a second registered voiceprint of a party remote from the facility, wherein the second registered voiceprint was obtained via an authorized remote participant registration process conducted prior to the telephone conversation; identify the number of authorized and unauthorized participants of the telephone conversation based on the comparison; take a first predefined action when the number of authorized or unauthorized participants is greater than a first predetermined number; and take a second predefined action when the number of unauthorized participants is greater than a second predetermined number. | 7. A system for determining a number of authorized and unauthorized participants of a telephone conversation, the system comprising: at least one processor configured to: continuously sample voice data from the telephone conversation; analyze the sampled voice data using biometric voice identification to identify one or more unique voiceprints; compare each of the identified one or more unique voiceprints to a first registered voiceprint of a resident of a facility and a second registered voiceprint of a party remote from the facility, wherein the second registered voiceprint was obtained via an authorized remote participant registration process conducted prior to the telephone conversation; identify the number of authorized and unauthorized participants of the telephone conversation based on the comparison; take a first predefined action when the number of authorized or unauthorized participants is greater than a first predetermined number; and take a second predefined action when the number of unauthorized participants is greater than a second predetermined number. 9. The system of claim 7 , wherein the first predetermined number is two. | 0.987278 |
9,245,004 | 1 | 2 | 1. A computer-implemented method performed at a server system for processing a search query, comprising: receiving at the server system the search query from a search requestor at a client system that is distinct from the server system; at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries based upon the search query, wherein the predicting (A) includes selecting the predicted queries based, at least in part, on how many times each of the predicted queries has been reused from a cache at the server system; (B) obtaining a first list of documents corresponding to the plurality of predicted queries, wherein the first list of documents is obtained by combining respective documents corresponding to individual predicted queries in the plurality of predicted queries prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester; and (C) transmitting, from the server system, (i) the plurality of predicted queries, and (ii) the first list of documents corresponding to the plurality of predicted queries to the search requestor at the client system; and when the search query is deemed to be a final search query: (i) obtaining a second list of documents corresponding to the final search query, wherein at least a portion of the list of documents is obtained using a server system cache index and associated cache; and (ii) transmitting, from the server system, the second list of documents to the search requestor at the client system; wherein the predicting (A), obtaining (B) and transmitting (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. | 1. A computer-implemented method performed at a server system for processing a search query, comprising: receiving at the server system the search query from a search requestor at a client system that is distinct from the server system; at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries based upon the search query, wherein the predicting (A) includes selecting the predicted queries based, at least in part, on how many times each of the predicted queries has been reused from a cache at the server system; (B) obtaining a first list of documents corresponding to the plurality of predicted queries, wherein the first list of documents is obtained by combining respective documents corresponding to individual predicted queries in the plurality of predicted queries prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester; and (C) transmitting, from the server system, (i) the plurality of predicted queries, and (ii) the first list of documents corresponding to the plurality of predicted queries to the search requestor at the client system; and when the search query is deemed to be a final search query: (i) obtaining a second list of documents corresponding to the final search query, wherein at least a portion of the list of documents is obtained using a server system cache index and associated cache; and (ii) transmitting, from the server system, the second list of documents to the search requestor at the client system; wherein the predicting (A), obtaining (B) and transmitting (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. 2. The method of claim 1 , wherein the predicting (A), obtaining (B) and transmitting (C) are executed before an execution, by the search requestor, of a predicted query in the plurality of predicted queries. | 0.810219 |
9,866,645 | 1 | 11 | 1. A processor-implemented method for generating actionable push notifications, comprising: receiving, by a notification server, a trigger message from a third party server; determining, by the notification server, user information associated with a user in response to the trigger message from the third party server; evaluating, by the notification server, the user information to determine one or more notification rules defined by the user, wherein the one or more notification rules indicate one or more circumstances under which the user should receive actionable notification messages; based on the trigger message and the one or more notification rules defined by the user, determining, by the notification server, that an actionable notification message should be sent to the user; based on the user information, determining, by the notification server, a user device associated with the user; in response to the determination that the actionable notification message should be sent to the user, generating, by the notification server, the actionable notification message having one or more actionable options operatively related to the actionable notification message; and transmitting, by the notification server, the actionable notification message and the one or more associated actionable options to the user device associated with the user, wherein the actionable notification message causes the user device to display a graphical user interface including a notification message corresponding to the actionable notification message and one or more user interface components corresponding to the one or more actionable options. | 1. A processor-implemented method for generating actionable push notifications, comprising: receiving, by a notification server, a trigger message from a third party server; determining, by the notification server, user information associated with a user in response to the trigger message from the third party server; evaluating, by the notification server, the user information to determine one or more notification rules defined by the user, wherein the one or more notification rules indicate one or more circumstances under which the user should receive actionable notification messages; based on the trigger message and the one or more notification rules defined by the user, determining, by the notification server, that an actionable notification message should be sent to the user; based on the user information, determining, by the notification server, a user device associated with the user; in response to the determination that the actionable notification message should be sent to the user, generating, by the notification server, the actionable notification message having one or more actionable options operatively related to the actionable notification message; and transmitting, by the notification server, the actionable notification message and the one or more associated actionable options to the user device associated with the user, wherein the actionable notification message causes the user device to display a graphical user interface including a notification message corresponding to the actionable notification message and one or more user interface components corresponding to the one or more actionable options. 11. The processor-implemented method of claim 1 , further comprising: determining, by the notification server, the one or more actionable options to include in the actionable notification message based on one or more notification rules defined by the user. | 0.775439 |
9,134,726 | 1 | 10 | 1. A method for configuration of SOA-based automation devices having an embedded High-Level Petri Net Orchestration Engine for controlling mechatronic components of an automation system, comprising the process steps: generation of HLPN component models for each type of mechatronic component of the automation system, creation of a Component Instance Model from an HLPN component model for each physically present mechatronic component, creation of a Layout Configuration File, which describes relationships among the Component Instance Models, composition of the Component Instance Models to form at least one System Model based on the Layout Configuration File, such that logic ports of the Component Instance Models are interconnected/linked to one another, generation of Configuration Files based on the at least one System Model as well as Device Descriptor Files and WSDL files of the Component Instance Models, such that the configuration files include at least one Device Configuration File and one Service Configuration File, loading the configuration files into the automation device containing the HLPN orchestration engine, wherein the configuration file comprises data on hosted service information with the required discovery hints or a service endpoint address for the HLPN orchestration engine to resolve referenced component services, and the device configuration file has a service class descriptor with referenced types of ports and a model representation, execution of the configuration files by the distributed HLPN orchestration engines of the automation devices. | 1. A method for configuration of SOA-based automation devices having an embedded High-Level Petri Net Orchestration Engine for controlling mechatronic components of an automation system, comprising the process steps: generation of HLPN component models for each type of mechatronic component of the automation system, creation of a Component Instance Model from an HLPN component model for each physically present mechatronic component, creation of a Layout Configuration File, which describes relationships among the Component Instance Models, composition of the Component Instance Models to form at least one System Model based on the Layout Configuration File, such that logic ports of the Component Instance Models are interconnected/linked to one another, generation of Configuration Files based on the at least one System Model as well as Device Descriptor Files and WSDL files of the Component Instance Models, such that the configuration files include at least one Device Configuration File and one Service Configuration File, loading the configuration files into the automation device containing the HLPN orchestration engine, wherein the configuration file comprises data on hosted service information with the required discovery hints or a service endpoint address for the HLPN orchestration engine to resolve referenced component services, and the device configuration file has a service class descriptor with referenced types of ports and a model representation, execution of the configuration files by the distributed HLPN orchestration engines of the automation devices. 10. The method according to claim 1 , wherein the Component Instance Model is created by copying the Device Type Model and adjusting a reference name according to a Device Descriptor File Name, which is associated with the device instance. | 0.562271 |
9,378,293 | 13 | 19 | 13. The system of claim 12 , wherein the output page comprises an HTML page. | 13. The system of claim 12 , wherein the output page comprises an HTML page. 19. The system of claim 13 , wherein the results markup language schema comprises an XML schema. | 0.965591 |
8,572,747 | 1 | 3 | 1. A method, comprising: performing by a computer system a static analysis on a program having sources and sinks to track string flow from the sources to the sinks, comprising: for string variables in the program that begin at sources, computing by the computer system grammar of possible string values for each of the string variables; for methods in the program operating on any of the string variables, computing by the computer system grammar of string variables returned by the methods; determining by the computer system that one of the string variables reaches a sink that performs a security-sensitive operation; determining by the computer system that one of methods in a path from a source to the sink that performs the security-sensitive operation is one of a user-defined sanitizer or a user-defined validator; in response to the one of the string variables reaching the sink and to the one of the methods in the path being one of a user-defined sanitizer or a user-defined validator, comparing by the computer system current grammar of the one of the string variables with a policy corresponding to the security-sensitive operation and determining by the computer system based on the comparing whether the one of the user-defined sanitizer or the user-defined validator presents or does not present a possible security problem; and performing by the computer system a reporting operation based on the comparing, wherein performing the reporting operation further comprises reporting, in response to the comparing, whether the one of the user-defined sanitizer or the user-defined validator presents or does not present the possible security problem, wherein the performing the reporting operation further comprises declaring the sink safe with respect to the security-sensitive operation in response to the one of the user-defined sanitizer or the user-defined validator not presenting the possible security problem and outputting indicia indicating the one of the user-defined sanitizer or the user-defined validator appears safe, and wherein the performing the reporting operation further comprises declaring the sink unsafe with respect to the security-sensitive operation in response to the one of the user-defined sanitizer or the user-defined validator presenting the possible security problem and outputting indicia indicating the one of the user-defined sanitizer or the user-defined validator has a possible security problem. | 1. A method, comprising: performing by a computer system a static analysis on a program having sources and sinks to track string flow from the sources to the sinks, comprising: for string variables in the program that begin at sources, computing by the computer system grammar of possible string values for each of the string variables; for methods in the program operating on any of the string variables, computing by the computer system grammar of string variables returned by the methods; determining by the computer system that one of the string variables reaches a sink that performs a security-sensitive operation; determining by the computer system that one of methods in a path from a source to the sink that performs the security-sensitive operation is one of a user-defined sanitizer or a user-defined validator; in response to the one of the string variables reaching the sink and to the one of the methods in the path being one of a user-defined sanitizer or a user-defined validator, comparing by the computer system current grammar of the one of the string variables with a policy corresponding to the security-sensitive operation and determining by the computer system based on the comparing whether the one of the user-defined sanitizer or the user-defined validator presents or does not present a possible security problem; and performing by the computer system a reporting operation based on the comparing, wherein performing the reporting operation further comprises reporting, in response to the comparing, whether the one of the user-defined sanitizer or the user-defined validator presents or does not present the possible security problem, wherein the performing the reporting operation further comprises declaring the sink safe with respect to the security-sensitive operation in response to the one of the user-defined sanitizer or the user-defined validator not presenting the possible security problem and outputting indicia indicating the one of the user-defined sanitizer or the user-defined validator appears safe, and wherein the performing the reporting operation further comprises declaring the sink unsafe with respect to the security-sensitive operation in response to the one of the user-defined sanitizer or the user-defined validator presenting the possible security problem and outputting indicia indicating the one of the user-defined sanitizer or the user-defined validator has a possible security problem. 3. The method of claim 1 , wherein the current grammar of the one of the string variables meets the policy, and the reporting operation declares the sink safe with respect to the security-sensitive operation. | 0.776344 |
9,619,360 | 7 | 8 | 7. A computer program product comprising a computer readable hardware storage device having computer readable program code stored therein, said storage device not being a transitory signal, said computer readable program code configured to be executed by a processor of a computer system to perform a method for creating a library method stub in source code form corresponding to an original library call in machine-executable form, said method comprising: said processor creating the library method stub in a predefined programming language by use of a library method signature associated with the original library call, at least one idiom sentence, and a call invoking the original library call, wherein said creating the library method stub comprises composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom, wherein the original library call appears in sequential code, wherein the library method signature specifies formal arguments of the original library call, wherein the at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments, and wherein a sentence S of the at least one basic idiom provides at least one rule for generating a composition of literals to generate a complex idiom; and said processor storing the created library method stub in a database. | 7. A computer program product comprising a computer readable hardware storage device having computer readable program code stored therein, said storage device not being a transitory signal, said computer readable program code configured to be executed by a processor of a computer system to perform a method for creating a library method stub in source code form corresponding to an original library call in machine-executable form, said method comprising: said processor creating the library method stub in a predefined programming language by use of a library method signature associated with the original library call, at least one idiom sentence, and a call invoking the original library call, wherein said creating the library method stub comprises composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom, wherein the original library call appears in sequential code, wherein the library method signature specifies formal arguments of the original library call, wherein the at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments, and wherein a sentence S of the at least one basic idiom provides at least one rule for generating a composition of literals to generate a complex idiom; and said processor storing the created library method stub in a database. 8. The computer program product of claim 7 , said method further comprising: said processor annotating the sequential code for parallelization resulting in creating the library method signature and the at least one idiom sentence. | 0.894399 |
8,108,405 | 10 | 18 | 10. One or more tangible computer-readable media encoding software operable when executed to: search a search space of a corpus to yield a plurality of results, the corpus comprising a plurality of documents associated with a plurality of keywords, each document associated with at least one keyword indicating at least one theme of the document; determine that one or more of the plurality of keywords are irrelevant keywords; expand the irrelevant keywords to include one or more other keywords related to the irrelevant keywords by: determining one or more irrelevant themes indicated by the irrelevant keywords; identifying one or more affine themes that are highly affine to the irrelevant themes, wherein the affine themes are highly affine if they satisfy an affinity threshold; determining one or more affine keywords that correspond to the affine themes; and identifying the affine keywords as the keywords related to the irrelevant keywords; and refine the search space according to the irrelevant keywords. | 10. One or more tangible computer-readable media encoding software operable when executed to: search a search space of a corpus to yield a plurality of results, the corpus comprising a plurality of documents associated with a plurality of keywords, each document associated with at least one keyword indicating at least one theme of the document; determine that one or more of the plurality of keywords are irrelevant keywords; expand the irrelevant keywords to include one or more other keywords related to the irrelevant keywords by: determining one or more irrelevant themes indicated by the irrelevant keywords; identifying one or more affine themes that are highly affine to the irrelevant themes, wherein the affine themes are highly affine if they satisfy an affinity threshold; determining one or more affine keywords that correspond to the affine themes; and identifying the affine keywords as the keywords related to the irrelevant keywords; and refine the search space according to the irrelevant keywords. 18. The computer-readable media of claim 10 , the results comprising a plurality of feeds from a Web feed. | 0.890722 |
7,739,307 | 7 | 10 | 7. A method of storing digital assets, the digital assets comprising at least three different types of digital assets selected from the group consisting of still images, video recordings, movies, audio recordings, graphics, promos, voiceovers, and text, the method comprising: arranging metadata of a first type of digital asset in accordance with a document type definition (DTD) comprising declared elements and attributes for at least three different types of digital assets, the at least three different types of digital assets including still images, movies, and at least one of video recordings, audio recordings, graphics, promos, voiceovers, and text, the DTD further comprising declared elements and attributes for rights management of the at least three different types of digital assets, the rights management elements and attributes comprising metadata for at least one of: a contract identifier, an availability start date, an availability end date, an allowed number of plays per agreement, a copyright holder identifier, or a worldwide rights identifier; the DTD defining metadata for still images and metadata attributes for the still images metadata, the still images metadata attributes comprising at least one of: a definition for black/white, a definition for color, a definition for caption, or a definition for legal restrictions; the DTD also defining metadata for movies and metadata attributes for the movies metadata, the movies metadata attributes comprising at least one of: a definition for title; a definition for version; a definition for rating; a definition for minutes; a definition for release date; a definition for run time; a definition for color; a definition for synopsis; a definition for director; a definition for cast; or a definition for allowable usage of a movie; the DTD further defining metadata for promos and metadata attributes for the promos metadata, the promos metadata attributes comprising at least one of: a definition for title, a definition for airmaster number, a definition for writer/producer, a definition for duration, a definition for announcer, a definition for trailer, a definition for kill date, a definition for comments, or a definition for Internet rights; arranging metadata of a second type of digital asset in accordance with the DTD, the second type different from the first type; arranging metadata of a third type of digital asset in accordance with the DTD, the third type different from the first type and the second type; storing a first digital asset of the first type in a database, the first type comprising a still image; storing a second digital asset of the second type in the same database as the first digital asset, the second type comprising a movie; and storing a third digital asset of the third type in the same database as the first and second digital assets, the third type comprising a promo; wherein: the method is performed by a computer system comprising: a server comprising the database storing the first, second, and third different types of digital assets; and a computer readable storage medium comprising the DTD, the computer readable storage medium accessible by the server. | 7. A method of storing digital assets, the digital assets comprising at least three different types of digital assets selected from the group consisting of still images, video recordings, movies, audio recordings, graphics, promos, voiceovers, and text, the method comprising: arranging metadata of a first type of digital asset in accordance with a document type definition (DTD) comprising declared elements and attributes for at least three different types of digital assets, the at least three different types of digital assets including still images, movies, and at least one of video recordings, audio recordings, graphics, promos, voiceovers, and text, the DTD further comprising declared elements and attributes for rights management of the at least three different types of digital assets, the rights management elements and attributes comprising metadata for at least one of: a contract identifier, an availability start date, an availability end date, an allowed number of plays per agreement, a copyright holder identifier, or a worldwide rights identifier; the DTD defining metadata for still images and metadata attributes for the still images metadata, the still images metadata attributes comprising at least one of: a definition for black/white, a definition for color, a definition for caption, or a definition for legal restrictions; the DTD also defining metadata for movies and metadata attributes for the movies metadata, the movies metadata attributes comprising at least one of: a definition for title; a definition for version; a definition for rating; a definition for minutes; a definition for release date; a definition for run time; a definition for color; a definition for synopsis; a definition for director; a definition for cast; or a definition for allowable usage of a movie; the DTD further defining metadata for promos and metadata attributes for the promos metadata, the promos metadata attributes comprising at least one of: a definition for title, a definition for airmaster number, a definition for writer/producer, a definition for duration, a definition for announcer, a definition for trailer, a definition for kill date, a definition for comments, or a definition for Internet rights; arranging metadata of a second type of digital asset in accordance with the DTD, the second type different from the first type; arranging metadata of a third type of digital asset in accordance with the DTD, the third type different from the first type and the second type; storing a first digital asset of the first type in a database, the first type comprising a still image; storing a second digital asset of the second type in the same database as the first digital asset, the second type comprising a movie; and storing a third digital asset of the third type in the same database as the first and second digital assets, the third type comprising a promo; wherein: the method is performed by a computer system comprising: a server comprising the database storing the first, second, and third different types of digital assets; and a computer readable storage medium comprising the DTD, the computer readable storage medium accessible by the server. 10. The method of claim 7 wherein the stored still image and the stored promo relate to the stored movie. | 0.889937 |
8,645,913 | 1 | 9 | 1. A system including instructions stored on a non-transitory computer-readable medium and executable by at least one processor of one or more computing devices, the system comprising: a Web Service Description Language (WSDL) inspector configured to cause the at least one processor to: discover, using a registry of discoverable web services, an existing web service that provides web service functionality; receive a WSDL file describing the web service, loop over all data type definitions in order to determine at least one data type included in the WSDL file, create and store a proxy data type corresponding to the at least one data type which is available to a business object generator, and extract at least one interface operation from the WSDL file, the at least one interface operation including at least one message sent during implementation of the at least one interface operation, the at least one message using the at least one data type; and the business object generator is configured to cause the at least one processor to: generate a business object based on the WSDL file, the business object including the at least one data type and the at least one interface operation, the business object configured to expose the web service functionality in an integrated manner within a business object based application environment, the generating including: converting the at least one data type to a format consistent with the business object based application environment, creating at least one business object node of the business object that corresponds to each interface operation of the WSDL file, the at least one business object node being based on the at least one message, and creating a node action for the at least one business object node, the node action corresponding to the at least one interface operation. | 1. A system including instructions stored on a non-transitory computer-readable medium and executable by at least one processor of one or more computing devices, the system comprising: a Web Service Description Language (WSDL) inspector configured to cause the at least one processor to: discover, using a registry of discoverable web services, an existing web service that provides web service functionality; receive a WSDL file describing the web service, loop over all data type definitions in order to determine at least one data type included in the WSDL file, create and store a proxy data type corresponding to the at least one data type which is available to a business object generator, and extract at least one interface operation from the WSDL file, the at least one interface operation including at least one message sent during implementation of the at least one interface operation, the at least one message using the at least one data type; and the business object generator is configured to cause the at least one processor to: generate a business object based on the WSDL file, the business object including the at least one data type and the at least one interface operation, the business object configured to expose the web service functionality in an integrated manner within a business object based application environment, the generating including: converting the at least one data type to a format consistent with the business object based application environment, creating at least one business object node of the business object that corresponds to each interface operation of the WSDL file, the at least one business object node being based on the at least one message, and creating a node action for the at least one business object node, the node action corresponding to the at least one interface operation. 9. The system of claim 1 wherein the WSDL inspector is configured to determine at least two web services and corresponding WSDL files, including the web service and the WSDL file. | 0.729607 |
5,574,652 | 11 | 16 | 11. An automated machine tool comprising: a machine tool capable of performing a plurality of operations; and a controller for controlling said machine tool, said controller including: a) means for executing a programmed machine cycle for generating output signals to control said machine tool to perform a plurality of operations, said programmed machine cycle comprising a plurality of sequences wherein each of said sequences defines an individual operation to be performed by said machine tool, each of said sequences also being associated with a legend which describes said individual operation of said machine tool defined thereby; b) an input mechanism for selectively controlling the operation of said executing means between a run mode and a command mode, said run mode for automatically operating said machine tool through a complete programmed machine cycle and said command mode for manually stepping one sequence at a time through each of said sequences comprising a programmed machine cycle; c) a visual display operatively connected to said executing means for displaying a plurality of said legends; and d) means for highlighting at least one particular one of said plurality of legends displayed on said visual display wherein, when said run mode is selected, said particular highlighted legend is said legend associated with said sequence currently being performed and, when said command mode is selected, said particular highlighted legend is said legend associated with said next sequence to be performed. | 11. An automated machine tool comprising: a machine tool capable of performing a plurality of operations; and a controller for controlling said machine tool, said controller including: a) means for executing a programmed machine cycle for generating output signals to control said machine tool to perform a plurality of operations, said programmed machine cycle comprising a plurality of sequences wherein each of said sequences defines an individual operation to be performed by said machine tool, each of said sequences also being associated with a legend which describes said individual operation of said machine tool defined thereby; b) an input mechanism for selectively controlling the operation of said executing means between a run mode and a command mode, said run mode for automatically operating said machine tool through a complete programmed machine cycle and said command mode for manually stepping one sequence at a time through each of said sequences comprising a programmed machine cycle; c) a visual display operatively connected to said executing means for displaying a plurality of said legends; and d) means for highlighting at least one particular one of said plurality of legends displayed on said visual display wherein, when said run mode is selected, said particular highlighted legend is said legend associated with said sequence currently being performed and, when said command mode is selected, said particular highlighted legend is said legend associated with said next sequence to be performed. 16. The automated machine tool defined in claim 11 wherein said programmed machine cycle includes a forward mode and a reverse mode, said forward mode comprising a plurality of sequences for performing a certain operation of said machine tool and said reverse mode comprising a plurality of sequences for performing the opposite reverse operation of said machine tool. | 0.501355 |
9,715,657 | 5 | 6 | 5. A medical diagnosis support apparatus comprising: at least one processor; and at least one memory, said processor and memory being operatively coupled to function as: a training data obtainment unit configured to obtain training data; a candidate creating unit configured to create a plurality of inference means candidates based on the training data; an inference performance evaluation unit configured to evaluate an accuracy or likelihood of the plurality of inference means candidates based on an inference result and correct diagnosis included in the training data; an information validity evaluation unit configured to evaluate the validity of information presented by each of the plurality of inference means candidates based on reason information and correct reason information included in the training data; and a selection unit configured to select an inference means from the plurality of inference means candidates based on (1) the accuracy or likelihood of the plurality of inference means candidates and (2) the validity of the information presented by each of the plurality of inference means candidates. | 5. A medical diagnosis support apparatus comprising: at least one processor; and at least one memory, said processor and memory being operatively coupled to function as: a training data obtainment unit configured to obtain training data; a candidate creating unit configured to create a plurality of inference means candidates based on the training data; an inference performance evaluation unit configured to evaluate an accuracy or likelihood of the plurality of inference means candidates based on an inference result and correct diagnosis included in the training data; an information validity evaluation unit configured to evaluate the validity of information presented by each of the plurality of inference means candidates based on reason information and correct reason information included in the training data; and a selection unit configured to select an inference means from the plurality of inference means candidates based on (1) the accuracy or likelihood of the plurality of inference means candidates and (2) the validity of the information presented by each of the plurality of inference means candidates. 6. The medical diagnosis support apparatus according to claim 5 , wherein the candidate creating unit is operable to create the inference means candidate as various inference methods. | 0.851942 |
8,949,231 | 1 | 10 | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing activity associated with content items having descriptive terms that describe the content items and promoting the presentation ranking of content items associated with descriptive terms that have an increased level of current activity, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving input entered by users for identifying desired content items; in response to the input entered by the users, presenting corresponding subsets of content items to the users; receiving actions from the users selecting content items from the corresponding subsets; analyzing the selection actions received from the users to detect an increased level of current activity relative to a normal level of activity associated with the content items selected by the users; selecting and ordering a collection of content items from the provided set of content items based on promoting the ranking of content items associated with descriptive terms that are associated with content items that have the increased level of current activity relative to the normal activity level; and presenting the collection of content items to at least one user. | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing activity associated with content items having descriptive terms that describe the content items and promoting the presentation ranking of content items associated with descriptive terms that have an increased level of current activity, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving input entered by users for identifying desired content items; in response to the input entered by the users, presenting corresponding subsets of content items to the users; receiving actions from the users selecting content items from the corresponding subsets; analyzing the selection actions received from the users to detect an increased level of current activity relative to a normal level of activity associated with the content items selected by the users; selecting and ordering a collection of content items from the provided set of content items based on promoting the ranking of content items associated with descriptive terms that are associated with content items that have the increased level of current activity relative to the normal activity level; and presenting the collection of content items to at least one user. 10. The method of claim 1 , wherein the input is entered by the users on at least one of a telephone, a PDA, a computer, and a remote control. | 0.911361 |
7,917,838 | 3 | 6 | 3. The computer implemented method of claim 2 , wherein data of the second data type is formatted according to a structured format of records and fields. | 3. The computer implemented method of claim 2 , wherein data of the second data type is formatted according to a structured format of records and fields. 6. The computer implemented method of claim 3 , wherein a first field of the records is a record type field that describes data contained in the records. | 0.925293 |
8,438,494 | 17 | 26 | 17. A non-transitory computer-readable medium storing instructions executable by a digital processing apparatus to perform an operation to formulate a computerized presentation of a sequence of scripts, the operation comprising: providing scripts comprising fixed content; providing users to control presentation of the scripts; allowing users to interject into the presentation of the scripts with agent content; observing the users during presentation to a contact and recording the execution of the script segments and interjection of agent content as presented at the discretion of the user during an interaction between the user and the contact; and providing a script structure comprising a script sequence and script content, the script structure reflecting at least one choice made by the user during the presenting of scripts to a contact, as recorded during the execution of the script segments and interjection of agent content by the user. | 17. A non-transitory computer-readable medium storing instructions executable by a digital processing apparatus to perform an operation to formulate a computerized presentation of a sequence of scripts, the operation comprising: providing scripts comprising fixed content; providing users to control presentation of the scripts; allowing users to interject into the presentation of the scripts with agent content; observing the users during presentation to a contact and recording the execution of the script segments and interjection of agent content as presented at the discretion of the user during an interaction between the user and the contact; and providing a script structure comprising a script sequence and script content, the script structure reflecting at least one choice made by the user during the presenting of scripts to a contact, as recorded during the execution of the script segments and interjection of agent content by the user. 26. The computer-readable medium of claim 17 , wherein the instructions further comprise an operation to augment the scripts by adding live voice segments to tailor the presentation to correspond to responses from the contact. | 0.619529 |
8,255,347 | 2 | 3 | 2. The computer system of claim 1 , further comprising: a messaging system, in communication with said scoring engine, for transmitting said electronic claim file to a destination based on said score. | 2. The computer system of claim 1 , further comprising: a messaging system, in communication with said scoring engine, for transmitting said electronic claim file to a destination based on said score. 3. The computer system of claim 2 , wherein said destination is a subrogation claim processing system. | 0.943017 |
8,200,704 | 10 | 16 | 10. A system, comprising: one or more computers programmed to perform operations comprising: identifying, in a computer, a plurality of structured documents having a same structured data format; parsing each structured document in the plurality of structured documents and extracting a plurality of data sets from each structured document; obtaining distinct metadata from a plurality of sources for each structured document in the plurality of structured documents, wherein the distinct metadata for each structured document comprises a rank of the structured document, a popularity of the structured document, or a number of downloads of the structured document, and wherein one or more sources in the plurality of sources comprises a different source than the structured document itself; merging the distinct metadata from the plurality of sources, including removing duplicate metadata; associating the distinct metadata for each respective structured document with each data set extracted from the respective structured document; adding a plurality of record items to a searchable database, wherein each record item corresponds to one of the extracted data sets, and wherein each record item is associated with the distinct metadata associated with the corresponding data set; receiving a search query; using the distinct metadata associated with each of one or more of the record items to calculate a query-independent score for at least one record item in the searchable database and using the query-independent score to identify the at least one record item as a response to the search query; and returning the identified at least one record item in response to the search query. | 10. A system, comprising: one or more computers programmed to perform operations comprising: identifying, in a computer, a plurality of structured documents having a same structured data format; parsing each structured document in the plurality of structured documents and extracting a plurality of data sets from each structured document; obtaining distinct metadata from a plurality of sources for each structured document in the plurality of structured documents, wherein the distinct metadata for each structured document comprises a rank of the structured document, a popularity of the structured document, or a number of downloads of the structured document, and wherein one or more sources in the plurality of sources comprises a different source than the structured document itself; merging the distinct metadata from the plurality of sources, including removing duplicate metadata; associating the distinct metadata for each respective structured document with each data set extracted from the respective structured document; adding a plurality of record items to a searchable database, wherein each record item corresponds to one of the extracted data sets, and wherein each record item is associated with the distinct metadata associated with the corresponding data set; receiving a search query; using the distinct metadata associated with each of one or more of the record items to calculate a query-independent score for at least one record item in the searchable database and using the query-independent score to identify the at least one record item as a response to the search query; and returning the identified at least one record item in response to the search query. 16. The system of claim 10 , wherein the distinct metadata for each structured document comprises a number of downloads of the structured document. | 0.84751 |
8,561,205 | 1 | 18 | 1. A system for distributing an electronic document comprising: a memory configured to store the electronic document; and a central distribution system in operable communication with the memory, the distribution system configured to: retrieve a copy of the electronic document from the memory; associate with the copy of the electronic document one or more rights, wherein each of said rights defines an action capable of being performed on at least a portion of the copy of the electronic document; and provide the copy of the electronic document in a form that allows a first client to exercise the one or more rights associated with the copy of the electronic document, wherein one of the rights associated with the copy of the electronic document includes the ability of the first client to share with a second client rights to at least a portion of a body of content of the electronic document to enable the second client to access the shared content based on rights derived from the first client through an act of said sharing even if the second client is not otherwise entitled to access the shared content, and wherein the central distribution system is configured such that said second client receives said at least a portion of said shared body of content from said central server only after the second client's rights to receive the shared content, as derived from the first client, are exercised by the second client such that the exercise of such rights by said second client directly causes the shared content to be delivered to the second client. | 1. A system for distributing an electronic document comprising: a memory configured to store the electronic document; and a central distribution system in operable communication with the memory, the distribution system configured to: retrieve a copy of the electronic document from the memory; associate with the copy of the electronic document one or more rights, wherein each of said rights defines an action capable of being performed on at least a portion of the copy of the electronic document; and provide the copy of the electronic document in a form that allows a first client to exercise the one or more rights associated with the copy of the electronic document, wherein one of the rights associated with the copy of the electronic document includes the ability of the first client to share with a second client rights to at least a portion of a body of content of the electronic document to enable the second client to access the shared content based on rights derived from the first client through an act of said sharing even if the second client is not otherwise entitled to access the shared content, and wherein the central distribution system is configured such that said second client receives said at least a portion of said shared body of content from said central server only after the second client's rights to receive the shared content, as derived from the first client, are exercised by the second client such that the exercise of such rights by said second client directly causes the shared content to be delivered to the second client. 18. The system of claim 1 wherein said central distribution system is configured to provide said at least a portion of said body of content from said central server to said second client only if the first client has first authorized such provision by delivering a token to said second client. | 0.626598 |
9,921,731 | 16 | 17 | 16. The system of claim 15 , further comprising a ranking component configured to compute a ranking for at least one of the one or more identified elements and to compute a ranking for the first clinical document in relation to the second clinical document. | 16. The system of claim 15 , further comprising a ranking component configured to compute a ranking for at least one of the one or more identified elements and to compute a ranking for the first clinical document in relation to the second clinical document. 17. The system of claim 16 , wherein the ranking component computes the rankings based one or more of: a text similarity measurement, a quantity of identical phrases or sentences having temporal patterns, a quantity of identical phrases or sentences that are statistically improbable to be repeated, a quantity of identical phrases or sentences having charge-related patterns, or a quantity of phrases or sentences describing clinical procedures or occurrences that are unlikely to repeat from the first point in time corresponding to the first clinical document to the subsequent point in time corresponding to the second clinical document. | 0.876446 |
7,506,262 | 3 | 4 | 3. A computer system having a processor and a computer-readable storage memory, the computer system comprising: means for presenting a user interface at a client computer, the user interface enabling a user to add a new annotation corresponding to media content; means for receiving a user request to add the new annotation; means for analyzing at least a portion of the media content to identify a likely temporal location of the media content to associate the new annotation with; and means for presenting the likely temporal location to the user via the user interface. | 3. A computer system having a processor and a computer-readable storage memory, the computer system comprising: means for presenting a user interface at a client computer, the user interface enabling a user to add a new annotation corresponding to media content; means for receiving a user request to add the new annotation; means for analyzing at least a portion of the media content to identify a likely temporal location of the media content to associate the new annotation with; and means for presenting the likely temporal location to the user via the user interface. 4. A system as recited in claim 3 , wherein the likely temporal location comprises a likely beginning temporal location of the media content to associate the new annotation with. | 0.867164 |
9,892,192 | 1 | 2 | 1. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors to dynamically prioritize questions for response processing based on extracted question parameters, wherein the set of instructions perform actions of: receiving, by the information handling system, a plurality of questions; extracting, by the information handling system, a plurality of question priority parameters comprising one or more question topics and a plurality of question context parameters for each question; identifying, by the information handling system, system performance parameters for the information handling system comprising processor utilization data, available memory space data, and bandwidth utilization data; determining, by the information handling system, a target priority value for each question based on the system performance parameters and the plurality of question priority parameters identified for said question; dynamically prioritizing, by the information handling system, response processing of the plurality of questions by comparing the target priority values for each of the plurality of questions to generate a prioritized plurality of questions; storing the prioritized plurality of questions in a question queue at the information handling system which is configured to support asynchronous delivery of the prioritized plurality of questions; and passing the prioritized plurality of questions as messages between to one or more question answering systems. | 1. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors to dynamically prioritize questions for response processing based on extracted question parameters, wherein the set of instructions perform actions of: receiving, by the information handling system, a plurality of questions; extracting, by the information handling system, a plurality of question priority parameters comprising one or more question topics and a plurality of question context parameters for each question; identifying, by the information handling system, system performance parameters for the information handling system comprising processor utilization data, available memory space data, and bandwidth utilization data; determining, by the information handling system, a target priority value for each question based on the system performance parameters and the plurality of question priority parameters identified for said question; dynamically prioritizing, by the information handling system, response processing of the plurality of questions by comparing the target priority values for each of the plurality of questions to generate a prioritized plurality of questions; storing the prioritized plurality of questions in a question queue at the information handling system which is configured to support asynchronous delivery of the prioritized plurality of questions; and passing the prioritized plurality of questions as messages between to one or more question answering systems. 2. The information handling system of claim 1 , wherein extracting the plurality of question priority parameters comprises performing, by the information handling system, a natural language processing (NLP) analysis of each question, wherein the NLP analysis results in one or more question topics comprising extracted named entity information from said question. | 0.617089 |
6,124,543 | 5 | 8 | 5. An automatic music composing apparatus comprising: a storage device which stores a plurality of musical piece generation data sets, each set including a reference melody data set which specifies a reference melody fragment and a melody generation data set which contains a melody specifying data of an amount for a piece of music so as to be used for generating a melody to constitute a musical piece, said reference melody data set included in each said musical piece generation data set typifying said melody generation data set included in said same musical piece generation data set; a supply device for supplying melody data which defines a desired melody fragment; a detector which compares the melody data supplied by said supply device with the reference melody data sets stored in said storage device and detects reference melody data which is equal or similar to said supplied melody data; a read out device which reads out from said storage device a melody generation data set included in the musical piece generation data set of which the reference melody data set is detected by said detector; and a melody generator which generates melody data representing a musical piece based on the melody generation data set as read out from said storage device. | 5. An automatic music composing apparatus comprising: a storage device which stores a plurality of musical piece generation data sets, each set including a reference melody data set which specifies a reference melody fragment and a melody generation data set which contains a melody specifying data of an amount for a piece of music so as to be used for generating a melody to constitute a musical piece, said reference melody data set included in each said musical piece generation data set typifying said melody generation data set included in said same musical piece generation data set; a supply device for supplying melody data which defines a desired melody fragment; a detector which compares the melody data supplied by said supply device with the reference melody data sets stored in said storage device and detects reference melody data which is equal or similar to said supplied melody data; a read out device which reads out from said storage device a melody generation data set included in the musical piece generation data set of which the reference melody data set is detected by said detector; and a melody generator which generates melody data representing a musical piece based on the melody generation data set as read out from said storage device. 8. An automatic music composing apparatus according to claim 5, wherein said supply device is to supply first melody data representing a melody fragment for a partial section of a musical piece to be composed, and said melody generator generates second melody data for the remaining sections of said musical piece to be composed and combines said first melody data and said second melody data to generate a melody data set representing an amount of melody to constitute a musical piece. | 0.710714 |
8,984,386 | 1 | 21 | 1. A system, comprising memory operatively coupled to one or more processors that are configured to execute instructions that cause the system to perform a method comprising steps of: receiving from a first user a first expression of interest in being notified about interactions of a third user; receiving from a second user a second expression of interest in being notified about interactions of the third user; receiving an indication of a particular interaction of the third user; after receiving the first expression of interest, receiving the second expression of interest, and receiving the indication, performing the steps of: based, at least in part, on the first expression of interest, sending first information about the particular interaction to the first user; based, at least in part, on the second expression of interest, sending the first information about the particular interaction to the second user; and wherein the first information includes one or more links that provide access to one or more views that are associated with the particular interaction; receiving from the first user a first comment entered in a first text entry interface, wherein the first text entry interface is related to the first information; and sending the first comment to the second user to enable display of the first comment, in relation to the first information, to the second user. | 1. A system, comprising memory operatively coupled to one or more processors that are configured to execute instructions that cause the system to perform a method comprising steps of: receiving from a first user a first expression of interest in being notified about interactions of a third user; receiving from a second user a second expression of interest in being notified about interactions of the third user; receiving an indication of a particular interaction of the third user; after receiving the first expression of interest, receiving the second expression of interest, and receiving the indication, performing the steps of: based, at least in part, on the first expression of interest, sending first information about the particular interaction to the first user; based, at least in part, on the second expression of interest, sending the first information about the particular interaction to the second user; and wherein the first information includes one or more links that provide access to one or more views that are associated with the particular interaction; receiving from the first user a first comment entered in a first text entry interface, wherein the first text entry interface is related to the first information; and sending the first comment to the second user to enable display of the first comment, in relation to the first information, to the second user. 21. The system of claim 1 wherein the first information is sent to the first user and the second of user, without receiving instruction provided by the third user, regarding who should be notified specifically about the particular interaction. | 0.933168 |
7,792,829 | 10 | 13 | 10. A computer implemented method that facilitates responding to user queries comprising: obtaining a table comprising a plurality of table entries organized by rows and columns; performing a search of an information store based on table entries from a row of the table; extracting sentences or sentence fragments from the search results, the extracted sentences or sentence fragments comprising one or more portions matching the table entries; deriving a sentence template from the extracted sentences or sentence fragments, the sentence template not including the one or more portions matching the table entries and having a structure such that addition of table entries from a row into the sentence template transforms the sentence template into a sentence associated with the row from which the table entries were obtained; replicating a copy of the sentence template for each row in the table; constructing a collection of sentences for the table comprising a sentence for each row constructed using the sentence template and table entries from that row; finishing the sentence template for each row, using table entries from that row, into a sentence for each row; and in response to a request to search the table, searching the sentences associated with the rows of the table. | 10. A computer implemented method that facilitates responding to user queries comprising: obtaining a table comprising a plurality of table entries organized by rows and columns; performing a search of an information store based on table entries from a row of the table; extracting sentences or sentence fragments from the search results, the extracted sentences or sentence fragments comprising one or more portions matching the table entries; deriving a sentence template from the extracted sentences or sentence fragments, the sentence template not including the one or more portions matching the table entries and having a structure such that addition of table entries from a row into the sentence template transforms the sentence template into a sentence associated with the row from which the table entries were obtained; replicating a copy of the sentence template for each row in the table; constructing a collection of sentences for the table comprising a sentence for each row constructed using the sentence template and table entries from that row; finishing the sentence template for each row, using table entries from that row, into a sentence for each row; and in response to a request to search the table, searching the sentences associated with the rows of the table. 13. The computer implemented method of claim 10 , wherein deriving the sentence template from the results of the search comprises operation of an AI (artificial intelligence) component that determines the sentence template from the results of the search. | 0.673522 |
9,031,863 | 2 | 12 | 2. The method as recited in claim 1 , wherein the plurality of different user characteristics comprise the plurality of different user demographics, wherein the plurality of different user demographics comprise a plurality of age ranges or genders including female and male, and wherein the one or more user characteristics of the user include one or more of the plurality of different user demographics. | 2. The method as recited in claim 1 , wherein the plurality of different user characteristics comprise the plurality of different user demographics, wherein the plurality of different user demographics comprise a plurality of age ranges or genders including female and male, and wherein the one or more user characteristics of the user include one or more of the plurality of different user demographics. 12. The method of claim 2 , wherein the plurality of user characteristics comprise the plurality of different categories, the method further comprising: ascertaining, for the user, one or more of the plurality of categories that represent user interest or expertise of the user in such categories, wherein the one or more user characteristics include the one or more of the plurality of categories. | 0.901388 |
9,141,690 | 6 | 12 | 6. A method comprising: receiving a query at a multitenant database system (MTS), wherein the MTS stores data for multiple client organizations each identified by a tenant identifier (ID) and one or more users are associated with the tenant ID, wherein the one or more users of each client organization access data identified by the tenant ID associated with the respective client organization, and wherein the multitenant database is hosted by an entity separate from the client organization; categorizing the semantic terms of the query into one or more categories based on a multidimensional categorization scheme stored in the MTS, the multidimensional categorization scheme associated with a tenant ID of a user that originated the query; accessing relationship metadata of records in the MTS previously categorized into one or more of the same categories as the query, including accessing first and second relationship types, wherein: the first relationship type metadata indicate a record relationship between one record in the MTS to another record in the MTS, and the second relationship type metadata indicate a category relationship between one of the categories of the one record in the MTS and other available categories of the multidimensional categorization scheme associated with the user's tenant ID, the category relationship based on a previously determined statistical similarity of the categories; retrieving records from the MTS: previously categorized into one or more of the same categories as the query, having record relationships with any of the already retrieved records, and previously categorized in a category having category relationships with one or more categories of any of the already retrieved records; computing a statistical likelihood that each retrieved record is a desired solution to the query meriting inclusion in a result set for the query, the statistical likelihood computed based on usage statistics accumulated for each retrieved record, including usage statistics accumulate for the record relationships and category relationships to other retrieved records; monitoring usage of the result set, including whether and for how long a record included in the result set is used, with greater usage associated with solutions of greater desirability and lesser usage associated with solutions of lesser desirability; and updating usage statistics indicating statistical similarity of records based on usage of the result set, including weighting more heavily records, record relationships and category relationships identified as being a desired solution to the query. | 6. A method comprising: receiving a query at a multitenant database system (MTS), wherein the MTS stores data for multiple client organizations each identified by a tenant identifier (ID) and one or more users are associated with the tenant ID, wherein the one or more users of each client organization access data identified by the tenant ID associated with the respective client organization, and wherein the multitenant database is hosted by an entity separate from the client organization; categorizing the semantic terms of the query into one or more categories based on a multidimensional categorization scheme stored in the MTS, the multidimensional categorization scheme associated with a tenant ID of a user that originated the query; accessing relationship metadata of records in the MTS previously categorized into one or more of the same categories as the query, including accessing first and second relationship types, wherein: the first relationship type metadata indicate a record relationship between one record in the MTS to another record in the MTS, and the second relationship type metadata indicate a category relationship between one of the categories of the one record in the MTS and other available categories of the multidimensional categorization scheme associated with the user's tenant ID, the category relationship based on a previously determined statistical similarity of the categories; retrieving records from the MTS: previously categorized into one or more of the same categories as the query, having record relationships with any of the already retrieved records, and previously categorized in a category having category relationships with one or more categories of any of the already retrieved records; computing a statistical likelihood that each retrieved record is a desired solution to the query meriting inclusion in a result set for the query, the statistical likelihood computed based on usage statistics accumulated for each retrieved record, including usage statistics accumulate for the record relationships and category relationships to other retrieved records; monitoring usage of the result set, including whether and for how long a record included in the result set is used, with greater usage associated with solutions of greater desirability and lesser usage associated with solutions of lesser desirability; and updating usage statistics indicating statistical similarity of records based on usage of the result set, including weighting more heavily records, record relationships and category relationships identified as being a desired solution to the query. 12. The method of claim 6 , further comprising: sending the query to a human agent if none of the retrieved records is used as a solution to the query; and updating the statistics responsive to a solution provided by the human agent. | 0.772904 |
9,852,348 | 15 | 19 | 15. 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 a scan request, wherein the scan request includes a plurality of text images, each text image representing a portion of a text document, wherein the plurality of text images includes a first text image and a second text image that at least partially overlap; for each text image of the plurality of text images: rectifying the text image to generate a text image with parallel image lines, generating a plurality of word bounding boxes that enclose one or more connected components in the text image, wherein each word bounding box is associated with a respective word of the text image, and generating, for each respective word bounding box in the text image, a vector that describes a shape of the respective word; combining text images of the plurality of text images that at least partially overlap to form a single text document including combining the first text image of the plurality of text images and the second text image of the plurality of text images by matching one or more shape descriptors from a first set of vectors generated for each respective word in the first text image and one or more shape descriptors from a second set of vectors generated for each respective word in the second text image; and providing the combined image as a scannable document. | 15. 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 a scan request, wherein the scan request includes a plurality of text images, each text image representing a portion of a text document, wherein the plurality of text images includes a first text image and a second text image that at least partially overlap; for each text image of the plurality of text images: rectifying the text image to generate a text image with parallel image lines, generating a plurality of word bounding boxes that enclose one or more connected components in the text image, wherein each word bounding box is associated with a respective word of the text image, and generating, for each respective word bounding box in the text image, a vector that describes a shape of the respective word; combining text images of the plurality of text images that at least partially overlap to form a single text document including combining the first text image of the plurality of text images and the second text image of the plurality of text images by matching one or more shape descriptors from a first set of vectors generated for each respective word in the first text image and one or more shape descriptors from a second set of vectors generated for each respective word in the second text image; and providing the combined image as a scannable document. 19. The computer storage medium of claim 15 , wherein combining the first text image and the second text image includes blending the first text image with the second text image. | 0.861285 |
8,412,820 | 8 | 13 | 8. A referred traffic analysis system for compiling marketing information for a client, the system comprising a processor and a non-transitory computer readable medium comprising computer readable instructions stored thereon for execution by the processor, the instructions comprising: a crawler module to obtain content from social media websites; a collector module to extract one or more insights from the obtained content, resulting in one or more extracted insights; a web analytics module to collect one or more measurements of traffic to a client website, the traffic being referred to the client website by referring social media posts on the social media websites; an associator module to associate the one or more measurements of traffic with the one or more extracted insights; and a presenter module to determine insights that reoccur frequently enough to be a driver for the one or more measurements of traffic, wherein the presenter module presents a plurality of the frequently reoccurring insights and associated measurements of traffic to the client website. | 8. A referred traffic analysis system for compiling marketing information for a client, the system comprising a processor and a non-transitory computer readable medium comprising computer readable instructions stored thereon for execution by the processor, the instructions comprising: a crawler module to obtain content from social media websites; a collector module to extract one or more insights from the obtained content, resulting in one or more extracted insights; a web analytics module to collect one or more measurements of traffic to a client website, the traffic being referred to the client website by referring social media posts on the social media websites; an associator module to associate the one or more measurements of traffic with the one or more extracted insights; and a presenter module to determine insights that reoccur frequently enough to be a driver for the one or more measurements of traffic, wherein the presenter module presents a plurality of the frequently reoccurring insights and associated measurements of traffic to the client website. 13. The system of claim 8 , wherein the presenter module presents a referred traffic dynamics summary table that ranks the extracted insights in accordance with an assumption that the extracted insights have contributed to a decision to buy at least one product available for sale at the client website. | 0.630488 |
8,335,785 | 7 | 8 | 7. A computer-readable medium having computer-readable program code embodied therein for causing a computer system to perform: receiving plural uniform resource locators (URLs) that are relevant to a network search query; assigning scores to internet weblogs based on (i) when in time the weblogs mention a URL in the plural URLs, and (ii) a flow path of the URLs between the weblogs; and ranking the weblogs based on the score assignments. | 7. A computer-readable medium having computer-readable program code embodied therein for causing a computer system to perform: receiving plural uniform resource locators (URLs) that are relevant to a network search query; assigning scores to internet weblogs based on (i) when in time the weblogs mention a URL in the plural URLs, and (ii) a flow path of the URLs between the weblogs; and ranking the weblogs based on the score assignments. 8. The computer-readable medium of claim 7 wherein higher scores are assigned when weblogs mention a particular URL earlier in time than when weblogs mention the particular URL later in time. | 0.700627 |
8,489,769 | 21 | 25 | 21. A network server for supplementing a communication after being sent from a user on a first electronic device to a recipient on a second electronic device, the communication related to multimedia information presented identically on the first electronic device and on the second electronic device, the first electronic device being different from the second electronic device, the network server comprising: a memory for storing at least one user profile for the user; and at least one processor configured to: determine an event in the multimedia information; determine a current state based on the determined event; update a current state profile in the user profile based on the determined event, the current state profile being changeable; receive the communication; extract data representative of identification of the user from the communication; access the user profile for the user associated with the extracted identification data; automatically analyze the received communication based on the current state profile of the user from the user profile; automatically determine how to supplement the received communication based on analyzing the received communication; automatically supplement the communication based on determining how to supplement the received communication; and send the supplemented communication to the recipient. | 21. A network server for supplementing a communication after being sent from a user on a first electronic device to a recipient on a second electronic device, the communication related to multimedia information presented identically on the first electronic device and on the second electronic device, the first electronic device being different from the second electronic device, the network server comprising: a memory for storing at least one user profile for the user; and at least one processor configured to: determine an event in the multimedia information; determine a current state based on the determined event; update a current state profile in the user profile based on the determined event, the current state profile being changeable; receive the communication; extract data representative of identification of the user from the communication; access the user profile for the user associated with the extracted identification data; automatically analyze the received communication based on the current state profile of the user from the user profile; automatically determine how to supplement the received communication based on analyzing the received communication; automatically supplement the communication based on determining how to supplement the received communication; and send the supplemented communication to the recipient. 25. The network server of claim 21 , wherein the processor supplements the communication with audio if the second electronic device supports audio regardless of whether the communication comprises audio. | 0.632246 |
8,347,245 | 4 | 5 | 4. The method of claim 1 wherein the frame-based input data includes multiple channels of data samples. | 4. The method of claim 1 wherein the frame-based input data includes multiple channels of data samples. 5. The method of claim 4 wherein the data samples are contiguous. | 0.985771 |
9,052,748 | 11 | 12 | 11. The method according to claim 10 , wherein generating a modified probability value for each of the text predictions comprises generating a vector map which comprises a context vector for each term of a plurality of terms in a set of documents, wherein the context vector comprises a sum of index vectors for all documents of the set of documents in which a term occurs. | 11. The method according to claim 10 , wherein generating a modified probability value for each of the text predictions comprises generating a vector map which comprises a context vector for each term of a plurality of terms in a set of documents, wherein the context vector comprises a sum of index vectors for all documents of the set of documents in which a term occurs. 12. The method according to claim 11 , wherein the step of generating a vector map further comprises filtering out from the vector map terms with a very high occurrence rate across the set of documents or stopwords. | 0.807002 |
9,589,183 | 7 | 9 | 7. A method for identifying and extracting text from an electronic document, the method comprising: receiving, at a text identifier and extractor, the electronic document; generating a stream of text tokens representing a plurality of lines of text of the electronic document; matching a pattern to a portion of the stream of text tokens, the pattern including an ordered sequence of a plurality of pattern elements representing the plurality of lines of text, where each pattern element of the plurality of pattern elements describes at least one text token; matching a text token in the stream of text tokens to a pattern element and continuing to consume text tokens from the stream of text tokens until a subsequent text token in the stream of text tokens is matched to a subsequent pattern element having a required attribute, wherein the pattern element and the subsequent pattern element belong to the same pattern; and outputting the text in accordance with the matched pattern, wherein the electronic document is a transcript or certificate. | 7. A method for identifying and extracting text from an electronic document, the method comprising: receiving, at a text identifier and extractor, the electronic document; generating a stream of text tokens representing a plurality of lines of text of the electronic document; matching a pattern to a portion of the stream of text tokens, the pattern including an ordered sequence of a plurality of pattern elements representing the plurality of lines of text, where each pattern element of the plurality of pattern elements describes at least one text token; matching a text token in the stream of text tokens to a pattern element and continuing to consume text tokens from the stream of text tokens until a subsequent text token in the stream of text tokens is matched to a subsequent pattern element having a required attribute, wherein the pattern element and the subsequent pattern element belong to the same pattern; and outputting the text in accordance with the matched pattern, wherein the electronic document is a transcript or certificate. 9. The method of claim 7 , wherein the plurality of pattern elements further includes attributes that indicate whether a pattern element is one or more of greedy, required, and can be discarded. | 0.696875 |
8,332,220 | 1 | 3 | 1. A method comprising: providing to a multiplicity of users a presentation; streaming streamed speech to a first user including individual speech from at least one other user participating in the presentation; detecting whether the streamed speech contains simultaneous speech resulting from two or more users speaking simultaneously; and using at least one processor to cause a display device to display, to the first user during the presentation, text of the streamed speech in response to detecting that the streamed speech contains simultaneous speech resulting from two or more users speaking simultaneously, wherein the two or more users speaking simultaneously comprise a second user and a third user, and wherein the displayed text comprises text corresponding to individual speech from the second user and text corresponding to individual speech from the third user. | 1. A method comprising: providing to a multiplicity of users a presentation; streaming streamed speech to a first user including individual speech from at least one other user participating in the presentation; detecting whether the streamed speech contains simultaneous speech resulting from two or more users speaking simultaneously; and using at least one processor to cause a display device to display, to the first user during the presentation, text of the streamed speech in response to detecting that the streamed speech contains simultaneous speech resulting from two or more users speaking simultaneously, wherein the two or more users speaking simultaneously comprise a second user and a third user, and wherein the displayed text comprises text corresponding to individual speech from the second user and text corresponding to individual speech from the third user. 3. The method of claim 1 , wherein detecting whether the streamed speech contains simultaneous speech resulting from two or more users speaking simultaneously comprises detennining whether a period of individual speech from the second user overlaps a period of individual speech from the third user. | 0.736796 |
7,933,852 | 25 | 26 | 25. The method of claim 24 , further comprising: performing said displaying, said presenting, said requiring, and said determining for successive additional pluralities of sentence segments until the sentence that correctly describes the picture is complete. | 25. The method of claim 24 , further comprising: performing said displaying, said presenting, said requiring, and said determining for successive additional pluralities of sentence segments until the sentence that correctly describes the picture is complete. 26. The method of claim 25 , further comprising: performing said displaying, said presenting, said requiring, said determining, and said performing said displaying, said presenting, said requiring, and said determining for successive additional pluralities of sentence segments for successive additional sentences describing the picture. | 0.934487 |
8,949,785 | 1 | 2 | 1. At a computer system including one or more processors and system memory, the computer system also including a workflow framework, a method for creating a compound data structure using a declarative language, the method comprising: receiving developer input in a declarative language, at the workflow framework, that defines multiple paths and a value for each path, the multiple paths and corresponding values representing a compound data structure that the developer desires to create within a workflow, each path of the multiple paths corresponding to a path to the value for the each path in the resulting created compound data structure and each value for the each path corresponding to a value from the each path in the resulting created compound data structure; interpreting each path, by the workflow framework, to create the compound data structure, wherein interpreting each path comprises: determining a type of element to create for the each path; creating the determined element in the compound data structure for each path; and for each path, assigning the corresponding value to the element created for the path. | 1. At a computer system including one or more processors and system memory, the computer system also including a workflow framework, a method for creating a compound data structure using a declarative language, the method comprising: receiving developer input in a declarative language, at the workflow framework, that defines multiple paths and a value for each path, the multiple paths and corresponding values representing a compound data structure that the developer desires to create within a workflow, each path of the multiple paths corresponding to a path to the value for the each path in the resulting created compound data structure and each value for the each path corresponding to a value from the each path in the resulting created compound data structure; interpreting each path, by the workflow framework, to create the compound data structure, wherein interpreting each path comprises: determining a type of element to create for the each path; creating the determined element in the compound data structure for each path; and for each path, assigning the corresponding value to the element created for the path. 2. The method of claim 1 , wherein the paths and corresponding values in the received developer input are arranged in a table format. | 0.861458 |
9,501,384 | 1 | 6 | 1. A method for testing of software automation scripts, the method comprising: obtaining at least one software automation script, wherein the software automation script comprises a sequence of executable tasks configured to automatically place a computing system into a target state comprising one or more state properties; analyzing the software automation script; identifying, based on the analyzing, a plurality of tasks to be performed during execution of the software automation script; determining a set of possible states of the computing system and a set of expected state transitions associated with each of the plurality of tasks; generating a state transition graph based on the set of possible states and the set of expected state transitions, wherein the state transition graph comprises: a set of nodes, wherein each of the set of nodes represents one of the set of possible states of the computing system, a set of directed edges, wherein each of the set of directed edges connects two in the set of nodes, a first subset of the set of nodes, wherein each of the first subset of the set of nodes represents an initial state of the computing system when the software automation script is executed, a second subset of the set of nodes, wherein each of the second subset of the set of nodes represents a post state of the computing system after the software automation script has been executed, and a third subset of the of the set of nodes, wherein each of the third subset of the set of nodes is situated between at least one of the first subset and the second subset of the set of nodes, wherein a path between one of the first subset and one of the second subset of the set of nodes represents an execution of the software automation script, and wherein a transition edge between any two of the set of nodes represents an execution of one of the plurality of tasks; executing a plurality of test cases for the software automation script, wherein each of the plurality of test cases is a separate executable instance of the software automation script configured to test the software automation script, wherein each of the plurality of test cases executes the software automation script based on a different configuration of the computing system; and at least one of determining, based on executing the plurality of test cases, that the software automation script is one of idempotent and non-idempotent; and determining, based on executing the plurality of test cases, that the software automation script is one of convergent and non-convergent. | 1. A method for testing of software automation scripts, the method comprising: obtaining at least one software automation script, wherein the software automation script comprises a sequence of executable tasks configured to automatically place a computing system into a target state comprising one or more state properties; analyzing the software automation script; identifying, based on the analyzing, a plurality of tasks to be performed during execution of the software automation script; determining a set of possible states of the computing system and a set of expected state transitions associated with each of the plurality of tasks; generating a state transition graph based on the set of possible states and the set of expected state transitions, wherein the state transition graph comprises: a set of nodes, wherein each of the set of nodes represents one of the set of possible states of the computing system, a set of directed edges, wherein each of the set of directed edges connects two in the set of nodes, a first subset of the set of nodes, wherein each of the first subset of the set of nodes represents an initial state of the computing system when the software automation script is executed, a second subset of the set of nodes, wherein each of the second subset of the set of nodes represents a post state of the computing system after the software automation script has been executed, and a third subset of the of the set of nodes, wherein each of the third subset of the set of nodes is situated between at least one of the first subset and the second subset of the set of nodes, wherein a path between one of the first subset and one of the second subset of the set of nodes represents an execution of the software automation script, and wherein a transition edge between any two of the set of nodes represents an execution of one of the plurality of tasks; executing a plurality of test cases for the software automation script, wherein each of the plurality of test cases is a separate executable instance of the software automation script configured to test the software automation script, wherein each of the plurality of test cases executes the software automation script based on a different configuration of the computing system; and at least one of determining, based on executing the plurality of test cases, that the software automation script is one of idempotent and non-idempotent; and determining, based on executing the plurality of test cases, that the software automation script is one of convergent and non-convergent. 6. The method of claim 1 , wherein determining that the software automation script is one of convergent and non-convergent comprises: determining, based on executing the plurality of test cases, if the sequence of executable tasks for each separate instance of the software automation script yielded at least one common state property of a state of the computing system after the plurality of test cases were executed; determining that the software automation script is convergent based on determining that the sequence of executable tasks for each separate instance of the software automation script yielded a common state property of the state of the computing system after the plurality of test cases were executed; and determining that the software automation script is non-convergent based on determining that the sequence of executable tasks for at least one of the separate instances of the software automation script failed to yield a common state property of a state of the computing system after the plurality of test cases were executed. | 0.500477 |
7,594,174 | 17 | 24 | 17. A computing system that enables a user to be presented with at least one of a plurality of different, independently selectable color sets and a plurality of different, independently selectable font sets, in preparation for application by the user of at least one of a user selected color set and a user selected font set to an electronic document displayed in a main window, comprising: (a) a display; (b) a processor coupled to the display; and (c) a physical machine-readable storage medium accessible to the processor, the machine-readable storage medium storing machine executable instructions that when executed by the processor, cause the system to: (i) display, to the user, a single, live preview user interface window that is separate from a main window that displaces an electronic document, the live preview user interface window enabling the user to select each of: (1) a color set from a plurality of available, independently selectable color sets selectable through a color set sliding scale user interface control that allows the user to browse through all available color sets in the live preview user interface window, each of the plurality of independently selectable color sets including a plurality of different colors collectively defined as part of the same color set, the plurality of different colors of the plurality of color sets being pre-selected by a designer; and (2) a font set from a plurality of available, independently selectable font sets selectable through a font set sliding scale user interface control that allows the user to browse through all available font sets in the live preview user interface window, each of the plurality of font sets including a plurality of different font faces and sizes, the plurality of different font faces and sizes of the plurality of font sets being collectively defined as part of the same selected font set and pre-selected by a designer, wherein the plurality of available font sets are each selectable independent of the plurality of available color sets; (ii) in response to user selection of the color set from the plurality of independently selectable color sets through the color set sliding scale user interface control in the live preview interface, display a color sample of the plurality of different colors of only the selected color set, and apply the selected color set to a sample of text selected from the electronic document and displayed in the live preview user interface window so that the plurality of different colors of the color set are collectively applied to, and simultaneously displayed using, the sample of text, and without applying the selected color set to the electronic document, such that the sample of text in the live preview interface window includes the plurality of different colors; (iii) in response to user selection of the font set from the plurality of independently selectable font sets through the font set sliding scale user interface control in the live preview interface, apply the selected font set to the selected sample of text from the electronic document that is displayed in the live preview user interface window so that the plurality of different font faces and sizes are collectively applied to, and simultaneously displayed using, the sample of text, and without applying the selected font set to the electronic document, such that the sample of text in the live preview interface window includes the plurality of different font faces; (iv) enable a user to peruse the selected color set and the selected font set selected in the live preview interface window; (v) receive from the user a single indication that the user is satisfied with the combination of the color set and the font set selected and applied to the sample of text in the live preview interface window, and only thereafter collectively apply the plurality of font faces and plurality of colors of the selected font set and color set to the entire electronic document such that all text elements of the entire electronic document are formatted to include corresponding ones of both the plurality of different font faces of the selected font set and the plurality of different colors of the selected color set as selected by the user; and (vi) evaluate differences in font sizes between various text elements of the document and, after receipt of the single indication from the user and collectively with the application of the selected font set and color set, change font sizes of the various text elements to maintain approximately a proportionality between differing font sizes of the text elements of electronic document as measured before application of the selected font set and color set. | 17. A computing system that enables a user to be presented with at least one of a plurality of different, independently selectable color sets and a plurality of different, independently selectable font sets, in preparation for application by the user of at least one of a user selected color set and a user selected font set to an electronic document displayed in a main window, comprising: (a) a display; (b) a processor coupled to the display; and (c) a physical machine-readable storage medium accessible to the processor, the machine-readable storage medium storing machine executable instructions that when executed by the processor, cause the system to: (i) display, to the user, a single, live preview user interface window that is separate from a main window that displaces an electronic document, the live preview user interface window enabling the user to select each of: (1) a color set from a plurality of available, independently selectable color sets selectable through a color set sliding scale user interface control that allows the user to browse through all available color sets in the live preview user interface window, each of the plurality of independently selectable color sets including a plurality of different colors collectively defined as part of the same color set, the plurality of different colors of the plurality of color sets being pre-selected by a designer; and (2) a font set from a plurality of available, independently selectable font sets selectable through a font set sliding scale user interface control that allows the user to browse through all available font sets in the live preview user interface window, each of the plurality of font sets including a plurality of different font faces and sizes, the plurality of different font faces and sizes of the plurality of font sets being collectively defined as part of the same selected font set and pre-selected by a designer, wherein the plurality of available font sets are each selectable independent of the plurality of available color sets; (ii) in response to user selection of the color set from the plurality of independently selectable color sets through the color set sliding scale user interface control in the live preview interface, display a color sample of the plurality of different colors of only the selected color set, and apply the selected color set to a sample of text selected from the electronic document and displayed in the live preview user interface window so that the plurality of different colors of the color set are collectively applied to, and simultaneously displayed using, the sample of text, and without applying the selected color set to the electronic document, such that the sample of text in the live preview interface window includes the plurality of different colors; (iii) in response to user selection of the font set from the plurality of independently selectable font sets through the font set sliding scale user interface control in the live preview interface, apply the selected font set to the selected sample of text from the electronic document that is displayed in the live preview user interface window so that the plurality of different font faces and sizes are collectively applied to, and simultaneously displayed using, the sample of text, and without applying the selected font set to the electronic document, such that the sample of text in the live preview interface window includes the plurality of different font faces; (iv) enable a user to peruse the selected color set and the selected font set selected in the live preview interface window; (v) receive from the user a single indication that the user is satisfied with the combination of the color set and the font set selected and applied to the sample of text in the live preview interface window, and only thereafter collectively apply the plurality of font faces and plurality of colors of the selected font set and color set to the entire electronic document such that all text elements of the entire electronic document are formatted to include corresponding ones of both the plurality of different font faces of the selected font set and the plurality of different colors of the selected color set as selected by the user; and (vi) evaluate differences in font sizes between various text elements of the document and, after receipt of the single indication from the user and collectively with the application of the selected font set and color set, change font sizes of the various text elements to maintain approximately a proportionality between differing font sizes of the text elements of electronic document as measured before application of the selected font set and color set. 24. The system of claim 17 , wherein the machine-readable storage medium further stores machine-executable instructions that when executed by the processor, cause the system to reposition the color set designator so as to indicate any different color set selected. | 0.574194 |
8,185,380 | 1 | 8 | 1. An information providing apparatus for a vehicle comprising: a conversation input device which inputs conversation by an audio input or manual operation by a user on a vehicle; a conversation support device, which is made to perform as a user's false conversation partner, including: a reference-keyword dictionary storage memory which memorizes a reference-keyword dictionary, in which a plurality of reference keywords are registered; a reference-keyword extraction device for retrieving a reference keyword by comparing input contents of the conversation of the user with the reference-keyword dictionary; a response sentence model storage memory which memorizes a plurality of response sentence models with an insertion blank part, in which a retrieved reference keyword or another reference keyword preliminary linked to the retrieved reference keyword within the keyword dictionary is inserted as a leading keyword so as to lead a user's next conversation input; and a conversation-leading-response-sentence creating and outputting device for creating and outputting a conversation leading response sentence, which leads the next conversation input by the user, the conversation leading response sentence being created by inserting the leading keyword corresponding to the retrieved reference keyword into the insertion blank part of the response sentence model, which is selected in accordance with the reference keyword and retrieved in an orderly manner from the response sentence model storage memory at each time of input of the conversation input by the user; a base data accumulation device for determining a user interest, which accumulates base data for determining a user interest based on a series of conversation contents of the user inputted in response to leading of the conversation support device; a service information collecting device for analyzing an object of the user interest based on contents of the accumulated base data for determining the user interest, and for collecting service information which is matched with the analyzed object of the user interest; and a service information output device for outputting the collected service information in a form of an image, audio, or those combination, wherein the conversation support device has a conversation support base data which includes the reference keyword dictionary and the response sentence models, the conversation support base data having a plurality of base data sets, each of which has different content adapted to a predetermined conversation support scene, wherein the conversation support device further includes: a conversation support scene determining device for determining occurrence of one of the predetermined conversation support scenes, and a conversation support base data switching device for switching the base data sets of the conversation support base data in response to a determined conversation support scene, wherein the reference-keyword extraction device does not conduct a syntax analysis for determining modification relation and grammatical logic analysis for word arrangement, wherein the reference-keyword extraction device retrieves the reference keyword, which is a word matched in a character string with a certain reference keyword memorized in the reference-keyword dictionary storage memory, wherein the conversation support device is configured as a chatterbot engine, which performs only both of a character string matching by referencing the reference-keyword dictionary storage memory with using the reference-keyword extraction device, and insertion of the leading keyword into the response sentence model, which is memorized in the response sentence model storage memory, with using the conversation-leading-response-sentence creating and outputting device. | 1. An information providing apparatus for a vehicle comprising: a conversation input device which inputs conversation by an audio input or manual operation by a user on a vehicle; a conversation support device, which is made to perform as a user's false conversation partner, including: a reference-keyword dictionary storage memory which memorizes a reference-keyword dictionary, in which a plurality of reference keywords are registered; a reference-keyword extraction device for retrieving a reference keyword by comparing input contents of the conversation of the user with the reference-keyword dictionary; a response sentence model storage memory which memorizes a plurality of response sentence models with an insertion blank part, in which a retrieved reference keyword or another reference keyword preliminary linked to the retrieved reference keyword within the keyword dictionary is inserted as a leading keyword so as to lead a user's next conversation input; and a conversation-leading-response-sentence creating and outputting device for creating and outputting a conversation leading response sentence, which leads the next conversation input by the user, the conversation leading response sentence being created by inserting the leading keyword corresponding to the retrieved reference keyword into the insertion blank part of the response sentence model, which is selected in accordance with the reference keyword and retrieved in an orderly manner from the response sentence model storage memory at each time of input of the conversation input by the user; a base data accumulation device for determining a user interest, which accumulates base data for determining a user interest based on a series of conversation contents of the user inputted in response to leading of the conversation support device; a service information collecting device for analyzing an object of the user interest based on contents of the accumulated base data for determining the user interest, and for collecting service information which is matched with the analyzed object of the user interest; and a service information output device for outputting the collected service information in a form of an image, audio, or those combination, wherein the conversation support device has a conversation support base data which includes the reference keyword dictionary and the response sentence models, the conversation support base data having a plurality of base data sets, each of which has different content adapted to a predetermined conversation support scene, wherein the conversation support device further includes: a conversation support scene determining device for determining occurrence of one of the predetermined conversation support scenes, and a conversation support base data switching device for switching the base data sets of the conversation support base data in response to a determined conversation support scene, wherein the reference-keyword extraction device does not conduct a syntax analysis for determining modification relation and grammatical logic analysis for word arrangement, wherein the reference-keyword extraction device retrieves the reference keyword, which is a word matched in a character string with a certain reference keyword memorized in the reference-keyword dictionary storage memory, wherein the conversation support device is configured as a chatterbot engine, which performs only both of a character string matching by referencing the reference-keyword dictionary storage memory with using the reference-keyword extraction device, and insertion of the leading keyword into the response sentence model, which is memorized in the response sentence model storage memory, with using the conversation-leading-response-sentence creating and outputting device. 8. The information providing apparatus for the vehicle claimed in claim 1 , wherein the conversation support device includes; a first narrowing device for repeating one or more turns the response sentence model, which includes a question item for narrowing a destination; and a second narrowing device for outputting the response sentence model having a content for inducing continuous speaks by showing sympathy with user words. | 0.80102 |
8,661,502 | 1 | 6 | 1. A system, comprising: a hardware processor adapted to execute logic; logic adapted to detect a predetermined operation input related to accessing document information; logic adapted to extract a content of the document information in response to detection of the predetermined operation; logic adapted to acquire policy information representing a relationship between the content and a sensitivity label; logic adapted to determine the sensitivity label of the document information by determining the sensitivity label corresponding to the content based on the policy information in response to extraction of the content; logic adapted to perform execution control for the document information in response to the determination of the sensitivity label, wherein the execution control for the document information is based on the sensitivity label and enforcement policy information included in the policy information, the enforcement policy information defining details of control for the document information based on the sensitivity label; and logic adapted to enable or disable printing for each content of the document information based on the enforcement policy information, wherein a printed matter of the document information includes at least one content of the document information minted as is and at least one content of the document information masked so that the masked content cannot be recognized. | 1. A system, comprising: a hardware processor adapted to execute logic; logic adapted to detect a predetermined operation input related to accessing document information; logic adapted to extract a content of the document information in response to detection of the predetermined operation; logic adapted to acquire policy information representing a relationship between the content and a sensitivity label; logic adapted to determine the sensitivity label of the document information by determining the sensitivity label corresponding to the content based on the policy information in response to extraction of the content; logic adapted to perform execution control for the document information in response to the determination of the sensitivity label, wherein the execution control for the document information is based on the sensitivity label and enforcement policy information included in the policy information, the enforcement policy information defining details of control for the document information based on the sensitivity label; and logic adapted to enable or disable printing for each content of the document information based on the enforcement policy information, wherein a printed matter of the document information includes at least one content of the document information minted as is and at least one content of the document information masked so that the masked content cannot be recognized. 6. The system as recited in claim 1 , further comprising: logic adapted to acquire positional information, and wherein the sensitivity label of the content is determined based on the positional information and the policy information; and a portable computing device comprising the logic adapted to acquire the positional information. | 0.740654 |
7,823,139 | 15 | 19 | 15. A machine storage medium having instructions stored thereon that when executed by a processor cause a system to: compile a source file in a first programming language into a parsed representation by a first compiler, the first compiler transforming the source file into first language tokens, and parsing the first language tokens into the parsed representation; receiving, by a transformation component, the parsed representation from a first semantic analysis, generate, by the transformation component, a token stream from the parsed representation produced by the first compiler and provide the token stream to the second compiler by the transformation component, wherein a plurality of compilation phases of the first compiler are skipped, wherein the token stream comprises second language tokens of the second programming language; receiving, by a second syntactic analysis phase of the second compiler the token stream from the transformation component and compiling the token stream into an object code in a second programming language by the second compiler, wherein a plurality of compilation phases of the second compiler are skipped; wherein the first compiler comprises a first lexical analysis, a first syntactic analysis, the first semantic analysis, a first optimization, and a first code generation; wherein the second compiler comprises a second lexical analysis, a second syntactic analysis, the second semantic analysis, a second optimization, and a second code generation; wherein the plurality of compilation phases of the first compiler that are skipped comprise the first optimization, the first code generation, and writing the object code as an output file; and wherein the plurality of compilation phases of the second compiler that are skipped comprise the second lexical analysis and accepting the object code as an input file. | 15. A machine storage medium having instructions stored thereon that when executed by a processor cause a system to: compile a source file in a first programming language into a parsed representation by a first compiler, the first compiler transforming the source file into first language tokens, and parsing the first language tokens into the parsed representation; receiving, by a transformation component, the parsed representation from a first semantic analysis, generate, by the transformation component, a token stream from the parsed representation produced by the first compiler and provide the token stream to the second compiler by the transformation component, wherein a plurality of compilation phases of the first compiler are skipped, wherein the token stream comprises second language tokens of the second programming language; receiving, by a second syntactic analysis phase of the second compiler the token stream from the transformation component and compiling the token stream into an object code in a second programming language by the second compiler, wherein a plurality of compilation phases of the second compiler are skipped; wherein the first compiler comprises a first lexical analysis, a first syntactic analysis, the first semantic analysis, a first optimization, and a first code generation; wherein the second compiler comprises a second lexical analysis, a second syntactic analysis, the second semantic analysis, a second optimization, and a second code generation; wherein the plurality of compilation phases of the first compiler that are skipped comprise the first optimization, the first code generation, and writing the object code as an output file; and wherein the plurality of compilation phases of the second compiler that are skipped comprise the second lexical analysis and accepting the object code as an input file. 19. The machine storage medium of claim 15 , wherein: the parsed representation processed by the transformation component is a parse tree. | 0.813514 |
7,970,767 | 1 | 3 | 1. A method for associating a plurality of attributes and a plurality of values for a product within at least one natural language document to define attribute-value pairs, the method comprising: determining, by a computer, correlations between two or more attributes of the plurality of attributes; identifying at least one attribute phrase based on the correlations between the two or more attributes; determining correlations between two or more values of the plurality of values; identifying at least one value phrase based on the correlations between the two or more values; associating an attribute of the plurality of attributes or an attribute phrase of the at least one attribute phrase with a value of the plurality of values or a value phrase of the at least one value phrase based on syntactic dependency therebetween; and storing the attribute or attribute phrase and the associated value or value phrase as an attribute-value pair. | 1. A method for associating a plurality of attributes and a plurality of values for a product within at least one natural language document to define attribute-value pairs, the method comprising: determining, by a computer, correlations between two or more attributes of the plurality of attributes; identifying at least one attribute phrase based on the correlations between the two or more attributes; determining correlations between two or more values of the plurality of values; identifying at least one value phrase based on the correlations between the two or more values; associating an attribute of the plurality of attributes or an attribute phrase of the at least one attribute phrase with a value of the plurality of values or a value phrase of the at least one value phrase based on syntactic dependency therebetween; and storing the attribute or attribute phrase and the associated value or value phrase as an attribute-value pair. 3. The method of claim 1 , further comprising: identifying another attribute of the plurality of attributes or another value phrase of the at least one value phrase that is in proximity to another value of the plurality of values or another value phrase of the at least one value phrase; associating the other attribute or the other attribute phrase with the other value or the other value phrase based on the proximity therebetween; and storing the other attribute or other attribute phrase and the associated other value or other value phrase as another attribute-value pair. | 0.655317 |
9,311,381 | 15 | 17 | 15. The system of claim 10 , wherein the framework further includes a hierarchy traversal query for at least some of the classes and a parent retrieval query for at least some of the classes. | 15. The system of claim 10 , wherein the framework further includes a hierarchy traversal query for at least some of the classes and a parent retrieval query for at least some of the classes. 17. The system of claim 15 , wherein the parent retrieval query for a first class is generated prior to the triggers being invoked and is associated with first class and stored in the framework, and the generation of the parent retrieval query for the first class includes: using a hierarchical query, avoiding cycles, find the parent class-child class pairs where the first class is the child; constructing a union query of the relation-join queries for each parent class-child class pair found, the union query returning a result set of identifiers for the parent class and the child class; and using an outer hierarchical query, avoiding cycles, to reach database objects in the tables identified in the union query using the result set of the union query. | 0.805882 |
7,908,279 | 20 | 21 | 20. An electronic market place for selling items to consumer over a network, comprising: a host server including a processor, a memory, and a network connection to a network; and a document corpus comprising a plurality of documents relating to items for sale from a plurality of vendors; wherein the host server is configured to, upon receiving a first document from a vendor relating to item for sale, the first document being organized into a plurality of fields, and wherein at least some of the fields include tokens representing the subject matter of the first document: select a field of the first document; select a token from the selected field, such that the selected token has the highest inverse document frequency (IDF) within the selected field with regard to all tokens in the document corpus; determine the number of tokens in the first document with a higher IDF value than the IDF value of the selected token; determine whether the number of tokens with a higher IDF value than the IDF value of the selected token exceeds a threshold; and temporarily remove those tokens from the first document that have a higher IDF than the selected token if the threshold is not exceeded; identify whether the first document describes substantially similar subject matter to the subject matter described by a second document in the document corpus, the second document being organized into a plurality of fields, wherein at least some of the fields include tokens representing subject matter of the second document, and wherein to identify whether the first document describes substantially similar subject matter, the host server is further configured to generate a score based in part upon at least one remaining token common to both the first and second documents and to evaluate the score with respect to a threshold value; and provide an indication as to whether the first document describes substantially similar subject matter to the subject matter described by the second document in the document corpus according to the determination. | 20. An electronic market place for selling items to consumer over a network, comprising: a host server including a processor, a memory, and a network connection to a network; and a document corpus comprising a plurality of documents relating to items for sale from a plurality of vendors; wherein the host server is configured to, upon receiving a first document from a vendor relating to item for sale, the first document being organized into a plurality of fields, and wherein at least some of the fields include tokens representing the subject matter of the first document: select a field of the first document; select a token from the selected field, such that the selected token has the highest inverse document frequency (IDF) within the selected field with regard to all tokens in the document corpus; determine the number of tokens in the first document with a higher IDF value than the IDF value of the selected token; determine whether the number of tokens with a higher IDF value than the IDF value of the selected token exceeds a threshold; and temporarily remove those tokens from the first document that have a higher IDF than the selected token if the threshold is not exceeded; identify whether the first document describes substantially similar subject matter to the subject matter described by a second document in the document corpus, the second document being organized into a plurality of fields, wherein at least some of the fields include tokens representing subject matter of the second document, and wherein to identify whether the first document describes substantially similar subject matter, the host server is further configured to generate a score based in part upon at least one remaining token common to both the first and second documents and to evaluate the score with respect to a threshold value; and provide an indication as to whether the first document describes substantially similar subject matter to the subject matter described by the second document in the document corpus according to the determination. 21. The electronic market place of claim 20 , wherein selecting a field of the first document comprises selecting a field according to its likelihood to contain tokens with the high IDF values. | 0.502577 |
7,912,706 | 10 | 12 | 10. An electronic equipment comprising: a memory, wherein the memory includes a local predictive text dictionary and a predictive text application program; an input device for allowing an associated user to enter user information for composition of a message to be transmitted to and read by a recipient; a processor that executes the predictive text application program within the memory, the predictive text application program when executed causing the electronic equipment to: request local dictionary information from the local predictive text dictionary, wherein the request includes at least a portion of the user information received from the input device; request remote dictionary information related to at least a portion of the user information from an associated remote server, wherein the request for remote dictionary information is transmitted automatically upon expiration of a predetermined period of time in response to the received one or more symbols from the input device; receive local dictionary information and remote dictionary information, wherein the received local dictionary information and the remote dictionary information includes predictive text that begins with the user information received from the input device; and output the predictive text in a user-sensible format, wherein the predictive text from the local dictionary information is output in priority before the predictive text received from the remote dictionary information. | 10. An electronic equipment comprising: a memory, wherein the memory includes a local predictive text dictionary and a predictive text application program; an input device for allowing an associated user to enter user information for composition of a message to be transmitted to and read by a recipient; a processor that executes the predictive text application program within the memory, the predictive text application program when executed causing the electronic equipment to: request local dictionary information from the local predictive text dictionary, wherein the request includes at least a portion of the user information received from the input device; request remote dictionary information related to at least a portion of the user information from an associated remote server, wherein the request for remote dictionary information is transmitted automatically upon expiration of a predetermined period of time in response to the received one or more symbols from the input device; receive local dictionary information and remote dictionary information, wherein the received local dictionary information and the remote dictionary information includes predictive text that begins with the user information received from the input device; and output the predictive text in a user-sensible format, wherein the predictive text from the local dictionary information is output in priority before the predictive text received from the remote dictionary information. 12. The electronic equipment of claim 10 , wherein the output of the remote dictionary information is in a predetermined manner. | 0.690821 |
9,564,125 | 1 | 7 | 1. A method of adapting a speech system, comprising: logging speech data from the speech system; processing the speech data, by a plurality of characteristic detector modules, to detect a plurality of user characteristics from the speech data, the plurality of characteristic detector modules each map the speech data into at least one category associated with at least one user characteristic of the plurality of user characteristics, the user characteristics comprise characteristics that are specific to behavior of a user of a vehicle when saying a command to an automated system; tracking a frequency of each of the plurality of user characteristics; and when the frequency of at least one of the plurality of user characteristics reaches a certain frequency, selecting a language model associated with the user of the vehicle, and updating the language model based on the categories of the plurality of the user characteristics. | 1. A method of adapting a speech system, comprising: logging speech data from the speech system; processing the speech data, by a plurality of characteristic detector modules, to detect a plurality of user characteristics from the speech data, the plurality of characteristic detector modules each map the speech data into at least one category associated with at least one user characteristic of the plurality of user characteristics, the user characteristics comprise characteristics that are specific to behavior of a user of a vehicle when saying a command to an automated system; tracking a frequency of each of the plurality of user characteristics; and when the frequency of at least one of the plurality of user characteristics reaches a certain frequency, selecting a language model associated with the user of the vehicle, and updating the language model based on the categories of the plurality of the user characteristics. 7. The method of claim 1 wherein the user characteristics comprise at least one of an age, a dialect, and a gender. | 0.840278 |
8,909,616 | 12 | 16 | 12. A method of retrieving documents, the method comprising: receiving by a server a query, the query including a first term, from a requesting application presented by a client access device, the requesting application having a plurality of subject areas, the query associated with a subject area of the plurality of subject areas; selecting a taxonomy that is associated with the subject area of the query, the plurality of subject areas being related to different taxonomies; refining the query based on the taxonomy selected to include a second term in the query; processing the query as refined against at least one database storing documents to retrieve a search result including at least one document; and transmitting the search result to the client access device. | 12. A method of retrieving documents, the method comprising: receiving by a server a query, the query including a first term, from a requesting application presented by a client access device, the requesting application having a plurality of subject areas, the query associated with a subject area of the plurality of subject areas; selecting a taxonomy that is associated with the subject area of the query, the plurality of subject areas being related to different taxonomies; refining the query based on the taxonomy selected to include a second term in the query; processing the query as refined against at least one database storing documents to retrieve a search result including at least one document; and transmitting the search result to the client access device. 16. The method of claim 12 , further comprising refining the search result before transmission to the client access device in accordance with a white list of documents, the white list indicating one or more documents to be added to or elevated in the search result. | 0.823569 |
7,706,016 | 1 | 4 | 1. An automated computer-implemented method of viewing production data for a print job, the production data including (i) an electronic document defined by a page description language (PDL), the electronic document being stored in a PDL image file and having predefined physical dimensions, and (ii) a predetermined area in which the electronic document must fit in a layout of a physical printed document, the method comprising: (a) creating a still image proxy of the PDL image file; (b) creating a static template that defines the predetermined area, wherein the physical dimensions of the template are dynamically determined based on the area in which the electronic document must fit in the layout of the physical printed document, and the physical dimensions of an image display of the still image proxy are dynamically determined based on the relative size of the predefined physical dimensions of the PDL image file to the predetermined area in which the electronic document must fit; and (c) displaying an image display of the still image proxy in association with the template. | 1. An automated computer-implemented method of viewing production data for a print job, the production data including (i) an electronic document defined by a page description language (PDL), the electronic document being stored in a PDL image file and having predefined physical dimensions, and (ii) a predetermined area in which the electronic document must fit in a layout of a physical printed document, the method comprising: (a) creating a still image proxy of the PDL image file; (b) creating a static template that defines the predetermined area, wherein the physical dimensions of the template are dynamically determined based on the area in which the electronic document must fit in the layout of the physical printed document, and the physical dimensions of an image display of the still image proxy are dynamically determined based on the relative size of the predefined physical dimensions of the PDL image file to the predetermined area in which the electronic document must fit; and (c) displaying an image display of the still image proxy in association with the template. 4. The method of claim 1 further comprising: (d) inserting the image display of the still image proxy and the template into a browser-compatible application program that allows for electronic manipulation of the image display of the still image proxy in relation to the template within a browser, wherein the template is sized so as to appear as large as possible within the application program, regardless of the actual predetermined area in which the electronic document must fit, thereby allowing for maximum viewability of the template and the image display of the still image proxy within the browser. | 0.629584 |
9,208,223 | 1 | 3 | 1. A method for indexing and searching content, comprising the steps of: converting content to one or more context knowledge graphs; creating a plurality of knowledgebase triples or entities selected from a group of Instance-Relation-Instance, Instance-Relation-Concept, Concept-Relation-Instance and Concept-Relation-Concept from the one or more context knowledge graphs; for each knowledgebase triple or entity, creating one or more knowledgebase variations thereof selected from the group of having from zero to three elements of the knowledgebase triple present, and including one or more endpoints as concepts or instances; storing the one or more knowledgebase variations as a knowledgebase representation of the content in a reverse index to a non-volatile computer readable storage medium; receiving a user search query; providing a weighting corresponding to a relevance between the user search query and one or more of the knowledgebase variations; and determining one or more elements of content to best respond to the user search query in accordance with the one or more weightings of the knowledgebase variations. | 1. A method for indexing and searching content, comprising the steps of: converting content to one or more context knowledge graphs; creating a plurality of knowledgebase triples or entities selected from a group of Instance-Relation-Instance, Instance-Relation-Concept, Concept-Relation-Instance and Concept-Relation-Concept from the one or more context knowledge graphs; for each knowledgebase triple or entity, creating one or more knowledgebase variations thereof selected from the group of having from zero to three elements of the knowledgebase triple present, and including one or more endpoints as concepts or instances; storing the one or more knowledgebase variations as a knowledgebase representation of the content in a reverse index to a non-volatile computer readable storage medium; receiving a user search query; providing a weighting corresponding to a relevance between the user search query and one or more of the knowledgebase variations; and determining one or more elements of content to best respond to the user search query in accordance with the one or more weightings of the knowledgebase variations. 3. The method of claim 1 , wherein the content comprises unstructured content. | 0.949742 |
8,572,101 | 8 | 9 | 8. A system to generate selected tabular data from an object relational data model using a faceted interaction interface, the system comprising: a processor; a module, operating on the processor, to generate selected tabular data from an object relational data model using a faceted interaction interface, the module comprising: a module to provide a faceted interaction interface to specify a faceted query to provide the selected tabular data from the object relational data model, wherein the faceted query comprises at least one facet and at least one facet condition; a module for constructing an object relational graph from a plurality of input object tables of the object relational data mode, wherein constructing the object relational graph comprises creating a node of the object relational graph corresponding to each input object table; a module for selecting each object in the object relational graph which contains the at least one facet; a module for identifying each object in the object relational graph on which the at least one facet condition applies; a module for generating at least one object group from the object relational graph, each object group comprising a path from a top level object or node which contains the at least one facet in the object relational graph to an object or node which contains the at least one facet and which does not have any children in the object relational graph; and a module for generating an object table for each object group, wherein the object table comprises selected tabular data from the object relational data model. | 8. A system to generate selected tabular data from an object relational data model using a faceted interaction interface, the system comprising: a processor; a module, operating on the processor, to generate selected tabular data from an object relational data model using a faceted interaction interface, the module comprising: a module to provide a faceted interaction interface to specify a faceted query to provide the selected tabular data from the object relational data model, wherein the faceted query comprises at least one facet and at least one facet condition; a module for constructing an object relational graph from a plurality of input object tables of the object relational data mode, wherein constructing the object relational graph comprises creating a node of the object relational graph corresponding to each input object table; a module for selecting each object in the object relational graph which contains the at least one facet; a module for identifying each object in the object relational graph on which the at least one facet condition applies; a module for generating at least one object group from the object relational graph, each object group comprising a path from a top level object or node which contains the at least one facet in the object relational graph to an object or node which contains the at least one facet and which does not have any children in the object relational graph; and a module for generating an object table for each object group, wherein the object table comprises selected tabular data from the object relational data model. 9. The system of claim 8 , further comprising a module for reforming the object relational graph to include a minimum number of objects and a minimum number of edges connecting selected objects in response to selecting each object in the object relational graph which contains the at least one facet. | 0.773071 |
10,025,862 | 16 | 18 | 16. A computer system for performing a search engine query across one or more electronic databases in response to user input, the search engine query utilizing a knowledge graph constructed by extracting and relating multiple information nodes, the system comprising: a computation device configured for receiving data input; a non-transitory computer-readable storage medium having an executable program stored thereon, wherein the program instructs a computer to perform the operations comprising: receiving, from a user interface, a search query; accessing, from one or more electronic databases, a knowledge graph; generating, by an electronic processor, search engine query results based on the accessed knowledge graph, wherein the knowledge graph is constructed by: accessing, from one or more electronic databases through an electronic communication network, a plurality of data objects, wherein the plurality of data objects are from a plurality of non-homogeneous fields; accessing, from the one or more electronic databases, a plurality of pre-programmed information units, wherein said plurality of pre-programmed information units are configurable through a dictionary taxonomy to define a semantic field of research; processing, by the electronic processor, said plurality of data objects with syntactic and semantic analysis, based at least in part on said pre-programmed information units, to create a plurality of information units and a plurality of correlation-indicating elements, wherein said plurality of correlation-indicating elements contains at least values relating to strengths of the correlations between the plurality of information units; generating, by the electronic processor, a knowledge base based at least in part on the information units and the plurality of correlation-indicating elements, wherein said generating is performed with a computational linguistics algorithm, wherein said generating is performed automatically, wherein said generating is further performed without a predefined, manually curated ontology; representing said processed knowledge base graphically in a knowledge graph based at least in part on the plurality of information units and the plurality of correlation-indicating elements, wherein the knowledge graph depicts a plurality of information nodes and a plurality of links between the plurality of information nodes, said plurality of information nodes comprising said information units and said plurality of links based at least in part on the plurality of correlation-indicating elements; analyzing, by the electronic processor, the plurality of information nodes in the knowledge graph with a stochastic algorithm, wherein said plurality of information nodes are linked to one another either directly or indirectly through one or more links, the stochastic algorithm comprising: generating a non-symmetric vector comprising a plurality of probabilities, each probability proportional to a dependency between each pair of information nodes in the plurality of information nodes; and symmetrizing said non-symmetric vector by taking an average number of steps of two directions between each pair of information nodes in the plurality of information nodes; determining ranking measures between the plurality of information nodes, wherein each ranking measure represents a measure of similarity between each pair of information nodes and indicates indirect relations among the information units corresponding to each pair of information nodes, wherein said ranking measure is further based on the probability of selecting the average number of steps between each pair of information nodes as determined by the stochastic algorithm; and modifying lengths of the links in the knowledge graph to reflect the determined ranking measure, wherein the generated search engine query results comprise one or more correlations between two or more information nodes, wherein the one or more correlations are ordered based on the modified lengths of the links in the knowledge graph; and providing the ordered search engine query results to the user. | 16. A computer system for performing a search engine query across one or more electronic databases in response to user input, the search engine query utilizing a knowledge graph constructed by extracting and relating multiple information nodes, the system comprising: a computation device configured for receiving data input; a non-transitory computer-readable storage medium having an executable program stored thereon, wherein the program instructs a computer to perform the operations comprising: receiving, from a user interface, a search query; accessing, from one or more electronic databases, a knowledge graph; generating, by an electronic processor, search engine query results based on the accessed knowledge graph, wherein the knowledge graph is constructed by: accessing, from one or more electronic databases through an electronic communication network, a plurality of data objects, wherein the plurality of data objects are from a plurality of non-homogeneous fields; accessing, from the one or more electronic databases, a plurality of pre-programmed information units, wherein said plurality of pre-programmed information units are configurable through a dictionary taxonomy to define a semantic field of research; processing, by the electronic processor, said plurality of data objects with syntactic and semantic analysis, based at least in part on said pre-programmed information units, to create a plurality of information units and a plurality of correlation-indicating elements, wherein said plurality of correlation-indicating elements contains at least values relating to strengths of the correlations between the plurality of information units; generating, by the electronic processor, a knowledge base based at least in part on the information units and the plurality of correlation-indicating elements, wherein said generating is performed with a computational linguistics algorithm, wherein said generating is performed automatically, wherein said generating is further performed without a predefined, manually curated ontology; representing said processed knowledge base graphically in a knowledge graph based at least in part on the plurality of information units and the plurality of correlation-indicating elements, wherein the knowledge graph depicts a plurality of information nodes and a plurality of links between the plurality of information nodes, said plurality of information nodes comprising said information units and said plurality of links based at least in part on the plurality of correlation-indicating elements; analyzing, by the electronic processor, the plurality of information nodes in the knowledge graph with a stochastic algorithm, wherein said plurality of information nodes are linked to one another either directly or indirectly through one or more links, the stochastic algorithm comprising: generating a non-symmetric vector comprising a plurality of probabilities, each probability proportional to a dependency between each pair of information nodes in the plurality of information nodes; and symmetrizing said non-symmetric vector by taking an average number of steps of two directions between each pair of information nodes in the plurality of information nodes; determining ranking measures between the plurality of information nodes, wherein each ranking measure represents a measure of similarity between each pair of information nodes and indicates indirect relations among the information units corresponding to each pair of information nodes, wherein said ranking measure is further based on the probability of selecting the average number of steps between each pair of information nodes as determined by the stochastic algorithm; and modifying lengths of the links in the knowledge graph to reflect the determined ranking measure, wherein the generated search engine query results comprise one or more correlations between two or more information nodes, wherein the one or more correlations are ordered based on the modified lengths of the links in the knowledge graph; and providing the ordered search engine query results to the user. 18. The computer system of claim 16 , wherein said stochastic algorithm is a customized random walk mathematical model. | 0.568841 |
8,390,839 | 1 | 2 | 1. An image formation system comprising: a plurality of image formation apparatuses, and at least one information processor, connected to one another, said information processor including a performance information storage unit configured to store, for each type of document, performance information related to processing rate of each said image formation apparatus to process a document, an input unit functioning as a pointing device, a display unit configured to display apparatus icons, each apparatus icon corresponding to an image formation apparatus from the plurality of image formation apparatuses, and a document icon corresponding to a document, a document selection unit configured to select a document, of which direct print processing by any one of said image formation apparatuses is to be requested, by selecting the document icon corresponding to the document through said input unit, a detection unit configured to detect a type of document selected by said document selection unit, a performance information acquisition unit configured to obtain performance information related to processing rate of each image formation apparatus stored in said performance information storage unit for the type of document detected by said detection unit, and a notification unit configured to provide a first notification to a user when the document icon is selected by said document selection unit to select the document, of the performance information of each image formation apparatus, for the type of the selected document, by changing said displayed apparatus icons in a respective manner corresponding to the performance information of each image formation apparatus for the type of the selected document. | 1. An image formation system comprising: a plurality of image formation apparatuses, and at least one information processor, connected to one another, said information processor including a performance information storage unit configured to store, for each type of document, performance information related to processing rate of each said image formation apparatus to process a document, an input unit functioning as a pointing device, a display unit configured to display apparatus icons, each apparatus icon corresponding to an image formation apparatus from the plurality of image formation apparatuses, and a document icon corresponding to a document, a document selection unit configured to select a document, of which direct print processing by any one of said image formation apparatuses is to be requested, by selecting the document icon corresponding to the document through said input unit, a detection unit configured to detect a type of document selected by said document selection unit, a performance information acquisition unit configured to obtain performance information related to processing rate of each image formation apparatus stored in said performance information storage unit for the type of document detected by said detection unit, and a notification unit configured to provide a first notification to a user when the document icon is selected by said document selection unit to select the document, of the performance information of each image formation apparatus, for the type of the selected document, by changing said displayed apparatus icons in a respective manner corresponding to the performance information of each image formation apparatus for the type of the selected document. 2. The image formation system according to claim 1 , said information processor further including an apparatus selection unit selecting an image formation apparatus from the plurality of image formation apparatuses to process the document selected by said document selection unit, wherein said notification unit provides a second notification to the user, when the image formation apparatus is selected to process the selected document, of the performance information of the selected image formation apparatus for the type of the selected document. | 0.621024 |
9,613,303 | 10 | 11 | 10. A method for secured printing, comprising: receiving from a server, by a printing device, an association between identifiers and security elements applicable to only to a single print job for a nominally print-ready document provided by a user; receiving, by the printing device, an intermediate document for the print job, wherein: the intermediate document comprises at least one of the identifiers, and the nominally print-ready document provided by the user; the at least one of the identifiers substitute for at least one reference to at least one of the security elements included in the nominally print-ready document; generating, by the printing device, a secured printable document from the intermediate document by replacing the at least one of the identifiers with the at least one of the security elements based on the received association between the identifiers and the security; and printing, by the printing device, the secured, printable document. | 10. A method for secured printing, comprising: receiving from a server, by a printing device, an association between identifiers and security elements applicable to only to a single print job for a nominally print-ready document provided by a user; receiving, by the printing device, an intermediate document for the print job, wherein: the intermediate document comprises at least one of the identifiers, and the nominally print-ready document provided by the user; the at least one of the identifiers substitute for at least one reference to at least one of the security elements included in the nominally print-ready document; generating, by the printing device, a secured printable document from the intermediate document by replacing the at least one of the identifiers with the at least one of the security elements based on the received association between the identifiers and the security; and printing, by the printing device, the secured, printable document. 11. The method of claim 10 , further comprising: verifying that a user is in physical proximity to the printing device; and transmitting a verification indicating that the user is in physical proximity to the server, wherein receiving the association, the intermediate document, or both is in response to transmitting the verification. | 0.679119 |
9,852,217 | 1 | 2 | 1. A method for providing a video in response to a query, the method comprising using at least one hardware processor for: receiving a multiplicity of videos from a source; for each video: receiving meta data related to the video; extracting from the video a video frame containing computer code; identifying a region of interest (ROI) within the video frame; performing optical character recognition (OCR) of the ROI to extract a code segment; analyzing the code segment, said analyzing comprising: (a) semantically analyzing the code segment to obtain a first rank, (b) structurally analyzing the code segment to obtain a second rank, and (c) analyzing the meta data to obtain a third rank; and combining the first rank, second rank and third rank into a total rank associated with the code segment; receiving a query; matching the query to each code segment to identify matching code segments and associated videos; and providing the associated videos in accordance with total ranks associated with the matching code segments. | 1. A method for providing a video in response to a query, the method comprising using at least one hardware processor for: receiving a multiplicity of videos from a source; for each video: receiving meta data related to the video; extracting from the video a video frame containing computer code; identifying a region of interest (ROI) within the video frame; performing optical character recognition (OCR) of the ROI to extract a code segment; analyzing the code segment, said analyzing comprising: (a) semantically analyzing the code segment to obtain a first rank, (b) structurally analyzing the code segment to obtain a second rank, and (c) analyzing the meta data to obtain a third rank; and combining the first rank, second rank and third rank into a total rank associated with the code segment; receiving a query; matching the query to each code segment to identify matching code segments and associated videos; and providing the associated videos in accordance with total ranks associated with the matching code segments. 2. The method according to claim 1 , further comprising displaying to a user a list of videos from which code segments being associated with highest ranks have been extracted. | 0.851443 |
7,698,131 | 1 | 16 | 1. A speech-enabled internet based computing system comprising: a speech recognition engine configured to generate a recognized speech query from an utterance; said speech recognition engine being further configured to distribute speech processing operations between a client device and a server device on a device-by-device basis, such that a plurality of client devices having differing computing capabilities can be supported; wherein individual ones of said plurality of client devices can be configured to perform at least part of said speech processing operations to generate said recognized speech query; a web page having a list of items, at least some of said list of items being selectable through a browser on said client device based on said recognized speech query; wherein speech related data for the web page can be transferred between the client device and the server device using a hypertext transfer protocol (HTTP) and a format which includes an embedded NULL character. | 1. A speech-enabled internet based computing system comprising: a speech recognition engine configured to generate a recognized speech query from an utterance; said speech recognition engine being further configured to distribute speech processing operations between a client device and a server device on a device-by-device basis, such that a plurality of client devices having differing computing capabilities can be supported; wherein individual ones of said plurality of client devices can be configured to perform at least part of said speech processing operations to generate said recognized speech query; a web page having a list of items, at least some of said list of items being selectable through a browser on said client device based on said recognized speech query; wherein speech related data for the web page can be transferred between the client device and the server device using a hypertext transfer protocol (HTTP) and a format which includes an embedded NULL character. 16. The system of claim 1 , wherein the server device automatically configures a number of speech processing operations. | 0.889299 |
6,069,939 | 46 | 47 | 46. The apparatus of claim 38, wherein said means for selecting a language includes means for selecting a language that corresponds to a dialed country. | 46. The apparatus of claim 38, wherein said means for selecting a language includes means for selecting a language that corresponds to a dialed country. 47. The apparatus of claim 46, wherein said means for selecting a language includes means for selecting a language or dialect that corresponds to said dialed country and a dialed city. | 0.852564 |
7,523,434 | 1 | 4 | 1. A method for implementing a symbolic specification using dynamically configurable arithmetic unit, the method comprising: receiving a plurality of mathematical expressions comprising a plurality of input variables; generating the symbolic specification from the plurality of mathematical expressions, wherein the symbolic specification is devoid of hardware description; assigning the plurality of input variables to input ports of the dynamically configurable arithmetic unit, wherein the dynamically reconfigurable arithmetic unit comprises a fixed number of components and a fixed number of input ports, wherein at least two input ports have different bit widths and at least two of the plurality of input variables have different binary point; determining from the symbolic specification a list of operations to be performed by the dynamically configurable arithmetic unit in order to sequentially execute the plurality of mathematical expressions; and generating an interface to the dynamically configurable arithmetic unit based on at least in part the assigning step and the list of operations, wherein the interface performs an alignment of selected ones of plurality of input variables for each mathematical expression to be sequentially executed, wherein at least two consecutive alignments of the plurality of input variables are performed differently, and wherein each alignment is performed according to the binary point of the input variables and which input ports are to be multiplied or added together for the mathematical expression to be executed, wherein the generating the interface comprises creating one or more multiplexers; and wherein one or more multiplexers are formed in programmable logic in an integrated circuit device. | 1. A method for implementing a symbolic specification using dynamically configurable arithmetic unit, the method comprising: receiving a plurality of mathematical expressions comprising a plurality of input variables; generating the symbolic specification from the plurality of mathematical expressions, wherein the symbolic specification is devoid of hardware description; assigning the plurality of input variables to input ports of the dynamically configurable arithmetic unit, wherein the dynamically reconfigurable arithmetic unit comprises a fixed number of components and a fixed number of input ports, wherein at least two input ports have different bit widths and at least two of the plurality of input variables have different binary point; determining from the symbolic specification a list of operations to be performed by the dynamically configurable arithmetic unit in order to sequentially execute the plurality of mathematical expressions; and generating an interface to the dynamically configurable arithmetic unit based on at least in part the assigning step and the list of operations, wherein the interface performs an alignment of selected ones of plurality of input variables for each mathematical expression to be sequentially executed, wherein at least two consecutive alignments of the plurality of input variables are performed differently, and wherein each alignment is performed according to the binary point of the input variables and which input ports are to be multiplied or added together for the mathematical expression to be executed, wherein the generating the interface comprises creating one or more multiplexers; and wherein one or more multiplexers are formed in programmable logic in an integrated circuit device. 4. The method of claim 1 further comprising aligning the plurality of input variables by adding one or more registers coupled to the dynamically configurable arithmetic unit. | 0.868381 |
8,190,628 | 12 | 14 | 12. A system comprising: one or more computers operable to perform operations including: identifying a plurality of phrase candidates from a plurality of text string entries in a corpus; for each phrase candidate of the plurality of phrase candidates: identifying a plurality of left contexts and a plurality of right contexts for the phrase candidate, each left context of the plurality of left contexts being a nearest unique feature to the left of the phrase candidate in each respective text string entry and each right context of the plurality of right contexts being a nearest unique feature to the right of the phrase candidate in each respective text string entry, and calculating both a left context vector including a respective score for each left context feature and a right context vector including a respective score for each right context feature of the phrase candidate; and determining a similarity between one or more pairs of phrase candidates of the plurality of phrase candidates using the respective left and right context vectors for each phrase candidate of each pair, wherein determining a similarity between a pair of phrase candidates includes: calculating a first similarity between the respective left context vectors of the pair of phrase candidates; calculating a second similarity between the respective right context vectors of the pair of phrase candidates; and calculating the similarity between the pair of phrase candidates using the first similarity and the second similarity. | 12. A system comprising: one or more computers operable to perform operations including: identifying a plurality of phrase candidates from a plurality of text string entries in a corpus; for each phrase candidate of the plurality of phrase candidates: identifying a plurality of left contexts and a plurality of right contexts for the phrase candidate, each left context of the plurality of left contexts being a nearest unique feature to the left of the phrase candidate in each respective text string entry and each right context of the plurality of right contexts being a nearest unique feature to the right of the phrase candidate in each respective text string entry, and calculating both a left context vector including a respective score for each left context feature and a right context vector including a respective score for each right context feature of the phrase candidate; and determining a similarity between one or more pairs of phrase candidates of the plurality of phrase candidates using the respective left and right context vectors for each phrase candidate of each pair, wherein determining a similarity between a pair of phrase candidates includes: calculating a first similarity between the respective left context vectors of the pair of phrase candidates; calculating a second similarity between the respective right context vectors of the pair of phrase candidates; and calculating the similarity between the pair of phrase candidates using the first similarity and the second similarity. 14. The system of claim 12 , the operations further comprising clustering similar phrase candidates. | 0.820144 |
8,069,130 | 1 | 2 | 1. A computer-implemented method of semiconductor testing, said method comprising: defining a first semiconductor testing rule, said semiconductor testing rule relating to semiconductor testing; validating said first semiconductor testing rule as being appropriate for a semiconductor testing system; bundling said first semiconductor testing rule with other semiconductor testing rules; correlating said first semiconductor testing rule with other semiconductor testing rules; publishing said first semiconductor testing rule so that said rule is prepared for actualization; and actualizing said published first semiconductor testing rule. | 1. A computer-implemented method of semiconductor testing, said method comprising: defining a first semiconductor testing rule, said semiconductor testing rule relating to semiconductor testing; validating said first semiconductor testing rule as being appropriate for a semiconductor testing system; bundling said first semiconductor testing rule with other semiconductor testing rules; correlating said first semiconductor testing rule with other semiconductor testing rules; publishing said first semiconductor testing rule so that said rule is prepared for actualization; and actualizing said published first semiconductor testing rule. 2. The method of claim 1 , wherein said actualizing said published first semiconductor testing rule comprises executing a simulation, said method further comprising: analyzing said actualizing; publishing said first semiconductor testing rule for production; and actualizing said first semiconductor testing rule in production. | 0.501524 |
9,471,551 | 24 | 27 | 24. The method of claim 1 wherein evaluating the body portion includes determining when, if promoted, the complete phrase would violate one or more predetermined restrictions on promotion and not promoting the complete phrase if a violation would occur. | 24. The method of claim 1 wherein evaluating the body portion includes determining when, if promoted, the complete phrase would violate one or more predetermined restrictions on promotion and not promoting the complete phrase if a violation would occur. 27. The method of claim 24 wherein one predetermined restriction relates to policy restrictions. | 0.97556 |
9,002,961 | 13 | 16 | 13. A device configured to open a communications channel between two individuals based on criteria about the individuals, comprising: an input and output user interface; memory; a storage device; a network node receiving a date of birth for each individual of said two individuals and sending each individual, of said two individuals questions as well as receiving answers to said questions from each said individual; a processor, configured to carry out instructions to determine a MBTI for each said individual based on said answers, determine each said individual's Chinese zodiac, based on said received date of birth, and determine a western zodiac for each said individual, based on said received date of birth; whereby said network node further receives attributes characteristic of each said individual, and required attributes of another individual; said processor carries out instructions to determine compatibility according to said determined MBTI for each said individual, and compatibility according to said Chinese zodiac and said western zodiac; and said device receives an indication by one said individual of accepting a match, and opens a communication channel between said one individual and said another individual associated with said match. | 13. A device configured to open a communications channel between two individuals based on criteria about the individuals, comprising: an input and output user interface; memory; a storage device; a network node receiving a date of birth for each individual of said two individuals and sending each individual, of said two individuals questions as well as receiving answers to said questions from each said individual; a processor, configured to carry out instructions to determine a MBTI for each said individual based on said answers, determine each said individual's Chinese zodiac, based on said received date of birth, and determine a western zodiac for each said individual, based on said received date of birth; whereby said network node further receives attributes characteristic of each said individual, and required attributes of another individual; said processor carries out instructions to determine compatibility according to said determined MBTI for each said individual, and compatibility according to said Chinese zodiac and said western zodiac; and said device receives an indication by one said individual of accepting a match, and opens a communication channel between said one individual and said another individual associated with said match. 16. The device of claim 13 , wherein said characteristic attributes further comprise an interest, by each said individual, in a particular relationship type, wherein said relationship type is a business relationship. | 0.881579 |
9,208,148 | 18 | 19 | 18. The non-transitory computer-readable medium of claim 15 , wherein the word in the word list is obtained according to the character length of each word. | 18. The non-transitory computer-readable medium of claim 15 , wherein the word in the word list is obtained according to the character length of each word. 19. The non-transitory computer-readable medium of claim 18 , wherein all of the words are obtained in sequence from the longest character length of the word to the shortest character length of the word. | 0.918474 |
8,897,634 | 1 | 2 | 1. A system comprising: (a) a camera that is operable to take and store pictures, and that includes: (i) a lens, (ii) an image sensor, (iii) at least two microphones, (iv) a voice recognizer, (v) a camera controller, (vi) a wireless network interface, and (vii) a touch sensitive display; (b) the camera controller including a control program having instructions to control and respond to the voice recognizer; (c) the two microphones oriented differently on the camera and configured to receive and detect sound signals emanating from around the camera; (d) a detector coupled to the at least two microphones and configured to receive, process and combine sound signals detected at the microphones, and to input the sounds to the voice recognizer; (e) wherein the controller is configured to: (i) cause the system to take a picture and store the picture in local memory in the camera; (ii) automatically upload a picture stored in the local memory to a user-instructed location at an internet picture hosting website via the wireless network interface, but only if predetermined conditions are met, the predetermined conditions including at least the camera controller receiving: (1) an indication from the wireless network interface that the system can make an internet connection via the wireless network interface; and (2) an indication from the local memory that a user has elected an option to designate at least one picture stored in local memory to be uploaded to the internet picture hosting website; and (iii) launch a browser to connect to and use the services at the internet picture hosting website. | 1. A system comprising: (a) a camera that is operable to take and store pictures, and that includes: (i) a lens, (ii) an image sensor, (iii) at least two microphones, (iv) a voice recognizer, (v) a camera controller, (vi) a wireless network interface, and (vii) a touch sensitive display; (b) the camera controller including a control program having instructions to control and respond to the voice recognizer; (c) the two microphones oriented differently on the camera and configured to receive and detect sound signals emanating from around the camera; (d) a detector coupled to the at least two microphones and configured to receive, process and combine sound signals detected at the microphones, and to input the sounds to the voice recognizer; (e) wherein the controller is configured to: (i) cause the system to take a picture and store the picture in local memory in the camera; (ii) automatically upload a picture stored in the local memory to a user-instructed location at an internet picture hosting website via the wireless network interface, but only if predetermined conditions are met, the predetermined conditions including at least the camera controller receiving: (1) an indication from the wireless network interface that the system can make an internet connection via the wireless network interface; and (2) an indication from the local memory that a user has elected an option to designate at least one picture stored in local memory to be uploaded to the internet picture hosting website; and (iii) launch a browser to connect to and use the services at the internet picture hosting website. 2. The camera system of claim 1 wherein the camera is integrated with a cell phone, and the voice recognizer is configured to recognize at least one spoken word to control dialing of the cell phone. | 0.896875 |
8,131,546 | 14 | 15 | 14. A system for adaptive sentence boundary disambiguation, comprising: a processor; a computer-readable storage medium accessible by said processor and carrying program instructions executable by said processor to: receive, from a natural language processing system, a document containing text; identify, by a first heuristic algorithm, sentence text in the document; identify, by a second heuristic algorithm, non-sentence text in the document, wherein the second heuristic algorithm is operable to identify one of non-sentence texts in a group consisting of lists, tables, names of people, addresses, text without a sentence structure, text included as a list and spatially separated data as non-sentence text; parse said non-sentence text into one or more logical constructs, wherein each logical construct comprises a set of words; and insert a disambiguator after each of said one or more logical constructs to define a sentence boundary for the logical construct based on one or more natural language structures and send the disambiguated document to the natural language processing system, wherein the disambiguated document consists of disambiguated sentences, each disambiguated sentence having a defined boundary and including related contextual information, and the disambiguator is used to signal the natural language processing system the presence of a logical construct to be evaluated independently of other logical constructs. | 14. A system for adaptive sentence boundary disambiguation, comprising: a processor; a computer-readable storage medium accessible by said processor and carrying program instructions executable by said processor to: receive, from a natural language processing system, a document containing text; identify, by a first heuristic algorithm, sentence text in the document; identify, by a second heuristic algorithm, non-sentence text in the document, wherein the second heuristic algorithm is operable to identify one of non-sentence texts in a group consisting of lists, tables, names of people, addresses, text without a sentence structure, text included as a list and spatially separated data as non-sentence text; parse said non-sentence text into one or more logical constructs, wherein each logical construct comprises a set of words; and insert a disambiguator after each of said one or more logical constructs to define a sentence boundary for the logical construct based on one or more natural language structures and send the disambiguated document to the natural language processing system, wherein the disambiguated document consists of disambiguated sentences, each disambiguated sentence having a defined boundary and including related contextual information, and the disambiguator is used to signal the natural language processing system the presence of a logical construct to be evaluated independently of other logical constructs. 15. The system of claim 14 , wherein the disambiguator comprises a question mark. | 0.875767 |
9,519,629 | 1 | 9 | 1. A computer-implemented method, comprising: receiving an indication of a plurality of styles associated with one or more pages, individual styles of the plurality of styles including a style name and one or more rules, and individual styles of the plurality of styles defined in a cascading style sheet (CSS) file; analyzing the plurality of styles to identify at least one common rule shared by at least some of the plurality of styles; combining the at least one common rule shared by at least some of the plurality of styles to define a common style that includes the at least one common rule, the common style associated with a browser type; associating the common style that includes the at least one common rule and is associated with the browser type with an owner of the common style that is at least one of an individual, an entity, or an organization responsible for the common style; and dynamically providing the common style that includes the at least one common rule and is associated with the browser type in response to a request for at least one of the one or more pages, the request being received from a browser of the browser type. | 1. A computer-implemented method, comprising: receiving an indication of a plurality of styles associated with one or more pages, individual styles of the plurality of styles including a style name and one or more rules, and individual styles of the plurality of styles defined in a cascading style sheet (CSS) file; analyzing the plurality of styles to identify at least one common rule shared by at least some of the plurality of styles; combining the at least one common rule shared by at least some of the plurality of styles to define a common style that includes the at least one common rule, the common style associated with a browser type; associating the common style that includes the at least one common rule and is associated with the browser type with an owner of the common style that is at least one of an individual, an entity, or an organization responsible for the common style; and dynamically providing the common style that includes the at least one common rule and is associated with the browser type in response to a request for at least one of the one or more pages, the request being received from a browser of the browser type. 9. The method of claim 1 , wherein analyzing the plurality of styles comprises parsing a text of one or more cascading style sheet files to identify at least partial matches in the style name and one or more rules. | 0.644518 |
7,590,654 | 4 | 5 | 4. The method of claim 1 , wherein generating the schema file comprises defining the data item type in the schema file as a rich structured data type. | 4. The method of claim 1 , wherein generating the schema file comprises defining the data item type in the schema file as a rich structured data type. 5. The method of claim 4 , wherein generating the schema file comprises declaring the content index in the schema file for content indexing properties of the rich structured data type and for content indexing properties of sub-parts of the rich structured data type. | 0.868447 |
7,774,300 | 6 | 9 | 6. A method of data migration, the method comprising: retrieving a plurality of data model objects and system administration objects from a computing system having a first database wherein the system administration objects include an access control list value; determining a dependency of the plurality of data model objects and system administration objects; providing data definition closure to the determined dependency through the elimination of missing dependency information; extracting data model object definitions from the plurality of data model objects; extracting system administration object definitions from the plurality of system administration objects; extracting object annotations from the plurality of data model objects wherein the extracted object annotations contain information specific to the database; forming a markup-language user document with the extracted object annotations, the extracted data model object definitions and the extracted system administration object definitions utilizing the determined dependency; exporting the formed markup-language user document to a computer-readable medium connected to the computing system; importing the formed markup-language user document from the computer-readable medium connected to the computing system; retrieving the extracted data model object definitions, the extracted object annotations and the extracted system administration object definitions from the formed markup-language user document according to the determined dependency such that an extracted data model object definition dependent upon an extracted independent data model object definition or an extracted independent system administration object definition is retrieved after the extracted independent data model object definition or the extracted independent system administration object definition to form imported objects; and performing a conflict check on the formed imported objects; merging the formed imported objects with corresponding existing objects in a second database if a conflict exists; and at the second database, creating new objects corresponding to the retrieved extracted data model object definitions, the extracted system administration object definitions and the extracted object annotations, if no conflict exists. | 6. A method of data migration, the method comprising: retrieving a plurality of data model objects and system administration objects from a computing system having a first database wherein the system administration objects include an access control list value; determining a dependency of the plurality of data model objects and system administration objects; providing data definition closure to the determined dependency through the elimination of missing dependency information; extracting data model object definitions from the plurality of data model objects; extracting system administration object definitions from the plurality of system administration objects; extracting object annotations from the plurality of data model objects wherein the extracted object annotations contain information specific to the database; forming a markup-language user document with the extracted object annotations, the extracted data model object definitions and the extracted system administration object definitions utilizing the determined dependency; exporting the formed markup-language user document to a computer-readable medium connected to the computing system; importing the formed markup-language user document from the computer-readable medium connected to the computing system; retrieving the extracted data model object definitions, the extracted object annotations and the extracted system administration object definitions from the formed markup-language user document according to the determined dependency such that an extracted data model object definition dependent upon an extracted independent data model object definition or an extracted independent system administration object definition is retrieved after the extracted independent data model object definition or the extracted independent system administration object definition to form imported objects; and performing a conflict check on the formed imported objects; merging the formed imported objects with corresponding existing objects in a second database if a conflict exists; and at the second database, creating new objects corresponding to the retrieved extracted data model object definitions, the extracted system administration object definitions and the extracted object annotations, if no conflict exists. 9. The method of claim 6 , wherein the data model objects and the system administration objects are retrieved utilizing an export table listing. | 0.866913 |
8,050,888 | 4 | 7 | 4. A non-transitory computer readable medium accessible by a computer processor including a software program for automatically applying hypothesis testing to at least one data set, the software including modules for: A. providing a plurality of statistical tests applicable to the at least one data set having a variety of characteristics; B. associating conventions with each test of the plurality of tests; C. determining the test including seeking indications as to at least one characteristic of the data set, generating at least one notification in response to the indications, and selecting a test from among the plurality of tests based on the indications and established conventions, and providing a notification of the nature of the selected test, the indications and established conventions; D. characterizing the data set, including establishing test criteria, selecting an appropriate reference test value depending on the test selected; and eliciting an indication of a description of the data of interest; E. constructing null and alternative hypothesis statements; F. obtaining a significance level, G. conducting the selected test including calculating the values of the test statistic, reference values, confidence bounds and p-values, comparing the calculated p-value to the indicated significance level and the value of the test statistic to one or more reference values, and assessing the confidence bounds in view of the null hypothesis statement; H. stating a conclusion in terms of the selected test and indicated test criteria whether to reject the null hypothesis or not to reject the null hypothesis and stating the basis for the conclusion using the results of the conducting step. | 4. A non-transitory computer readable medium accessible by a computer processor including a software program for automatically applying hypothesis testing to at least one data set, the software including modules for: A. providing a plurality of statistical tests applicable to the at least one data set having a variety of characteristics; B. associating conventions with each test of the plurality of tests; C. determining the test including seeking indications as to at least one characteristic of the data set, generating at least one notification in response to the indications, and selecting a test from among the plurality of tests based on the indications and established conventions, and providing a notification of the nature of the selected test, the indications and established conventions; D. characterizing the data set, including establishing test criteria, selecting an appropriate reference test value depending on the test selected; and eliciting an indication of a description of the data of interest; E. constructing null and alternative hypothesis statements; F. obtaining a significance level, G. conducting the selected test including calculating the values of the test statistic, reference values, confidence bounds and p-values, comparing the calculated p-value to the indicated significance level and the value of the test statistic to one or more reference values, and assessing the confidence bounds in view of the null hypothesis statement; H. stating a conclusion in terms of the selected test and indicated test criteria whether to reject the null hypothesis or not to reject the null hypothesis and stating the basis for the conclusion using the results of the conducting step. 7. The computer readable medium of claim 4 wherein determining the test includes seeking an indication of the nature of data as being attribute data or continuous data and, if the indication is that the data are attribute data, then seeking an indication as to the number of samples from which the data are drawn, seeking an indication of sample size, and seeking an indication of normality of the data, wherein, if the indication is that the data are continuous, then seeking an indication as to the number of samples from which the data are drawn, an indication of sample size and an indication as to whether the data are normal, not normal, or if the distribution is unknown, wherein, if the indication is that the data are one of not normal or unknown, then providing notifications to use one of a normality test to determine normality, non-parametric tests, and data transformation functions. | 0.526399 |
9,325,660 | 18 | 20 | 18. The method for extracting and tracking media tags within video content, comprising the steps of: receiving video content with a server from one or more content sources; saving the video content in a storage; extracting on the server at least one frame of the video content; detecting on the server one or more unknown text within the frame and creating one or more images, each of the one or more images associated with one of the one or more unknown text; retrieving metadata associated with the one or more unknown text appearing in the frame; scanning the one or more images using optical character recognition and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; determining whether the one or more known text is a media tag; wherein the step of detecting comprises identifying one or more regions of the frame where the one or more unknown text is displayed; and extracting the one or more regions from the frame for creating the one or more images; wherein the step of determining comprises identifying that the one or more known text refers to one or more social media services; and validating whether the scanning accurately generated the one or more known text from the one or more images using at least the metadata. | 18. The method for extracting and tracking media tags within video content, comprising the steps of: receiving video content with a server from one or more content sources; saving the video content in a storage; extracting on the server at least one frame of the video content; detecting on the server one or more unknown text within the frame and creating one or more images, each of the one or more images associated with one of the one or more unknown text; retrieving metadata associated with the one or more unknown text appearing in the frame; scanning the one or more images using optical character recognition and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; determining whether the one or more known text is a media tag; wherein the step of detecting comprises identifying one or more regions of the frame where the one or more unknown text is displayed; and extracting the one or more regions from the frame for creating the one or more images; wherein the step of determining comprises identifying that the one or more known text refers to one or more social media services; and validating whether the scanning accurately generated the one or more known text from the one or more images using at least the metadata. 20. The method of claim 18 , further comprising the steps of: monitoring social media services over a network; identifying social media events generated with the social media services after the media tag is displayed in the video content; generating measurements and analytics of the social media events; and displaying the media tag, the metadata, and the measurements and analytics for viewing on a user computer. | 0.859892 |
8,832,549 | 11 | 12 | 11. The non-transitory machine readable medium of claim 1 , wherein the document is a vector graphics document. | 11. The non-transitory machine readable medium of claim 1 , wherein the document is a vector graphics document. 12. The non-transitory machine readable medium of claim 11 , wherein the document is a Portable Document Format (PDF) file. | 0.951575 |
8,346,534 | 107 | 108 | 107. The system as recited in claim 94 , wherein the one or more discourse comprehension features are derived by the steps of: reading a sentence from the electronic document; extracting noun phrases from the sentence; constructing a graph in a working memory with nodes corresponding to the noun phrases; adding nodes to the graph for all phrases that are in a short-term memory; connecting all nodes with edges weighted by a semantic relatedness measure derived using a semantic memory; decreasing the weights on incoming and outgoing edges of nodes coming from the short-term memory by a decay factor proportional to the number of sentences since the phrase was last seen; ranking the nodes in the graph using a graph centrality measure; selecting a predetermined number of the highest-ranked nodes and placing their associated phrases in short-term memory; saving parameters related to a phrase ranking using the centrality measure and a number of iterations that the phrase remains in the short-term memory; repeating the above steps of reading, extracting, constructing, adding, connecting, decreasing, ranking, selecting and saving until all sentences have been read from the electronic document; and calculating the one or more discourse comprehension features using the saved parameters. | 107. The system as recited in claim 94 , wherein the one or more discourse comprehension features are derived by the steps of: reading a sentence from the electronic document; extracting noun phrases from the sentence; constructing a graph in a working memory with nodes corresponding to the noun phrases; adding nodes to the graph for all phrases that are in a short-term memory; connecting all nodes with edges weighted by a semantic relatedness measure derived using a semantic memory; decreasing the weights on incoming and outgoing edges of nodes coming from the short-term memory by a decay factor proportional to the number of sentences since the phrase was last seen; ranking the nodes in the graph using a graph centrality measure; selecting a predetermined number of the highest-ranked nodes and placing their associated phrases in short-term memory; saving parameters related to a phrase ranking using the centrality measure and a number of iterations that the phrase remains in the short-term memory; repeating the above steps of reading, extracting, constructing, adding, connecting, decreasing, ranking, selecting and saving until all sentences have been read from the electronic document; and calculating the one or more discourse comprehension features using the saved parameters. 108. The system as recited in claim 107 , wherein the semantic relatedness measure comprises a weighted combination of a variant of latent semantic analysis trained on books and articles and a pointwise mutual information measure. | 0.92235 |
9,645,994 | 1 | 2 | 1. A method for analyzing a natural language text sequence of a conversation exchanged between multiple users of a platform, the method comprising: extracting, by one or more processors, at least one feature from a training dataset that includes a natural language text sequence of a conversation exchanged between multiple users of a platform based on a pre-defined features stored at a database, wherein the natural language text sequence comprises a plurality of sentences, each of the plurality of sentences including a number of words; defining, by the one or more processors, at least one equation for two or more tasks to be completed; calculating, by the one or more processors, a parameter value for each of the two or more tasks using the equation, the parameter value being based on the at least one feature extracted from the training dataset; selecting, by the one or more processors, one or more first labels from a plurality of first labels and one or more second labels from a plurality of second labels based on the calculated parameter value and applying the selected one or more first and second labels to each of the plurality of sentences of the natural language sequence of the training dataset; and based on the selected one or more first and second labels, indicating to the multiple users of the platform, by the one or more processors, that the two or more tasks are complete. | 1. A method for analyzing a natural language text sequence of a conversation exchanged between multiple users of a platform, the method comprising: extracting, by one or more processors, at least one feature from a training dataset that includes a natural language text sequence of a conversation exchanged between multiple users of a platform based on a pre-defined features stored at a database, wherein the natural language text sequence comprises a plurality of sentences, each of the plurality of sentences including a number of words; defining, by the one or more processors, at least one equation for two or more tasks to be completed; calculating, by the one or more processors, a parameter value for each of the two or more tasks using the equation, the parameter value being based on the at least one feature extracted from the training dataset; selecting, by the one or more processors, one or more first labels from a plurality of first labels and one or more second labels from a plurality of second labels based on the calculated parameter value and applying the selected one or more first and second labels to each of the plurality of sentences of the natural language sequence of the training dataset; and based on the selected one or more first and second labels, indicating to the multiple users of the platform, by the one or more processors, that the two or more tasks are complete. 2. The method of claim 1 , wherein the at least one feature is extracted based on the plurality of pre-defined features, the plurality of pre-defined features including at least one of a ‘Word 1-grams and 2-grams’, ‘Segment position in thread’, ‘Segment position in tweet’, ‘Sender’, ‘Contains email’, ‘#Upper case’, ‘#Punctuation’, ‘#Special punctuation’, ‘Positive Sentiment’, ‘Negative Sentiment’, ‘Category of previous segment’, ‘Category of previous tweet/author’, and ‘Category of previous tweet’. | 0.53512 |
8,635,254 | 4 | 5 | 4. The method of claim 1 , wherein the request for the first Web page is issued from an original Web page, and the method further comprises: providing the original Web page to the Web browser, the original Web page containing a control feature that contains the first URL-encoded session ID, the control feature being used to issue the request for the first Web page. | 4. The method of claim 1 , wherein the request for the first Web page is issued from an original Web page, and the method further comprises: providing the original Web page to the Web browser, the original Web page containing a control feature that contains the first URL-encoded session ID, the control feature being used to issue the request for the first Web page. 5. The method of claim 4 , wherein the control feature comprises at least one of a menu item, a hyperlink, a button and an image. | 0.974526 |
8,549,014 | 15 | 18 | 15. A system comprising: one or more devices to: determine a measure of how anchor text, that is associated with a link pointing to a document and that includes character text referring to a content of the document, changes over time; generate a score for the document based on the measure of how the anchor text, associated with the link pointing to the document, changes over time; and rank the document with regard to at least one other document based on the score. | 15. A system comprising: one or more devices to: determine a measure of how anchor text, that is associated with a link pointing to a document and that includes character text referring to a content of the document, changes over time; generate a score for the document based on the measure of how the anchor text, associated with the link pointing to the document, changes over time; and rank the document with regard to at least one other document based on the score. 18. The system of claim 15 , where when generating the score, the one or more devices are to: compare content of the document to content of the anchor text associated with the link pointing to the document, where the generated score is further based on a result of the comparing. | 0.837979 |
8,250,072 | 7 | 9 | 7. A system for detecting real-word typos, the system comprising: a memory configured to store a database comprising a plurality of word groups, each word group comprising a number of consecutive words previously parsed from a source text; an interface configured to receive a text designated for evaluation, the designated text comprising a plurality of words; a processor configured to execute instructions stored in memory to: parse the plurality of words into a plurality of word groups, each word group comprising the number of consecutive words found in the designated text, identify a database for comparison to the designated text based on a language of the designated text; analyze the word groups parsed from the designated text based on a comparison to the word groups in the identified database; and a display generation engine configured to generate an indication that a word group from the designated text may include an error based on the analysis of the word group in comparison to the identified database, wherein the analysis comprises generating a typo likelihood value for each word group parsed from the designated text, and wherein the typo likelihood value of a word group parsed from the designated text is based on a product of a number of times each word in the word group appears in the database, the product divided by a number of times the word group comprising the consecutive words appears in the database. | 7. A system for detecting real-word typos, the system comprising: a memory configured to store a database comprising a plurality of word groups, each word group comprising a number of consecutive words previously parsed from a source text; an interface configured to receive a text designated for evaluation, the designated text comprising a plurality of words; a processor configured to execute instructions stored in memory to: parse the plurality of words into a plurality of word groups, each word group comprising the number of consecutive words found in the designated text, identify a database for comparison to the designated text based on a language of the designated text; analyze the word groups parsed from the designated text based on a comparison to the word groups in the identified database; and a display generation engine configured to generate an indication that a word group from the designated text may include an error based on the analysis of the word group in comparison to the identified database, wherein the analysis comprises generating a typo likelihood value for each word group parsed from the designated text, and wherein the typo likelihood value of a word group parsed from the designated text is based on a product of a number of times each word in the word group appears in the database, the product divided by a number of times the word group comprising the consecutive words appears in the database. 9. The system of claim 7 , wherein the database in memory is further configured to store a number of times each word of each word group appears in the source text and a number of times the word group appears in the source text. | 0.726506 |
8,751,513 | 12 | 14 | 12. The non-transitory computer-readable medium of claim 11 , wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term. | 12. The non-transitory computer-readable medium of claim 11 , wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term. 14. The non-transitory computer-readable medium of claim 12 , wherein the instructions further cause the computing device to: compare the second term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and upon a determination that the at least one target term includes the second term, assign the invitational content item to the first index category in the predetermined hierarchical taxonomy. | 0.859671 |
9,317,531 | 14 | 20 | 14. A computing device, comprising: an image sensor configured to capture an image comprising image data; a processor configured to associate metadata with the image; an information fuser configured to: determine weighted reliabilities of portions of the metadata, the weighted reliabilities being particular to the image, and filter the metadata for the image based on the weighted reliabilities that are particular to the image; a set of sentence generation modules configured to generate sentences for the image from at least some of the image data and the filtered metadata; an evaluator configured to evaluate the sentences generated by the set of sentence generation modules and to select an individual sentence as a sentence caption for the image; and, a display configured to present the image and the sentence caption. | 14. A computing device, comprising: an image sensor configured to capture an image comprising image data; a processor configured to associate metadata with the image; an information fuser configured to: determine weighted reliabilities of portions of the metadata, the weighted reliabilities being particular to the image, and filter the metadata for the image based on the weighted reliabilities that are particular to the image; a set of sentence generation modules configured to generate sentences for the image from at least some of the image data and the filtered metadata; an evaluator configured to evaluate the sentences generated by the set of sentence generation modules and to select an individual sentence as a sentence caption for the image; and, a display configured to present the image and the sentence caption. 20. The computing device of claim 14 , wherein the evaluator is configured to select the individual sentence based on previously selected sentence captions. | 0.853659 |
8,843,466 | 31 | 38 | 31. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: 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, wherein determining that the first search query includes the respective text reference to each of the one or more predetermined attributes comprises determining that at least one term in the first search query appears in an attribute data store, and wherein the attribute data store contains terms from previously submitted queries determined to relate to entities of the first entity type by a query classifier; 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; and 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. | 31. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: 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, wherein determining that the first search query includes the respective text reference to each of the one or more predetermined attributes comprises determining that at least one term in the first search query appears in an attribute data store, and wherein the attribute data store contains terms from previously submitted queries determined to relate to entities of the first entity type by a query classifier; 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; and 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. 38. The system of claim 31 , the operations further comprising: normalizing the final scores for each of the plurality of entities based on a respective inverse document frequency of a name of each of the entities. | 0.801484 |
8,469,174 | 1 | 5 | 1. A valuable document receiving and alignment method used in a valuable document receiver comprising; a valuable document receiver comprising, a housing defining a transversely tilted tunnel, a delivery mechanism mounted in said transversely tilted tunnel of said housing and controllable to hold down and deliver an inserted valuable document by means of a sheet-deliver wheel module thereof, and a validation unit adapted for sensing the insertion of a valuable document into said transversely tilted tunnel controlling the operation of said delivery mechanism and identifying the authenticity and value of the sensed valuable document, the valuable document receiving and alignment method comprising the steps of: (a) a user inserts a valuable document obliquely into said transversely tilted tunnel; (b) said validation unit of said valuable document receiver senses the presence of the inserted valuable document and controls said delivery mechanism to hold down the inserted valuable document; (c) said sheet-deliver wheel module of said delivery mechanism is controlled to deliver the inserted valuable document forwardly to a predetermined distance and at the same time the user releases his/her hand from the inserted valuable document for enabling the inserted valuable document to be delivered by said sheet-deliver wheel module; (d) said sheet-deliver wheel module releases the valuable document for enabling the valuable document to fall downwardly to the lower side wall of said transversely tilted tunnel and to let one side edge of the valuable document be abutted against the lower side wall of said transversely tilted tunnel; (e) said sheet-deliver wheel module is controlled to deliver the valuable document to a validation position for enabling said validation unit to identify the authenticity and value of the valuable document. | 1. A valuable document receiving and alignment method used in a valuable document receiver comprising; a valuable document receiver comprising, a housing defining a transversely tilted tunnel, a delivery mechanism mounted in said transversely tilted tunnel of said housing and controllable to hold down and deliver an inserted valuable document by means of a sheet-deliver wheel module thereof, and a validation unit adapted for sensing the insertion of a valuable document into said transversely tilted tunnel controlling the operation of said delivery mechanism and identifying the authenticity and value of the sensed valuable document, the valuable document receiving and alignment method comprising the steps of: (a) a user inserts a valuable document obliquely into said transversely tilted tunnel; (b) said validation unit of said valuable document receiver senses the presence of the inserted valuable document and controls said delivery mechanism to hold down the inserted valuable document; (c) said sheet-deliver wheel module of said delivery mechanism is controlled to deliver the inserted valuable document forwardly to a predetermined distance and at the same time the user releases his/her hand from the inserted valuable document for enabling the inserted valuable document to be delivered by said sheet-deliver wheel module; (d) said sheet-deliver wheel module releases the valuable document for enabling the valuable document to fall downwardly to the lower side wall of said transversely tilted tunnel and to let one side edge of the valuable document be abutted against the lower side wall of said transversely tilted tunnel; (e) said sheet-deliver wheel module is controlled to deliver the valuable document to a validation position for enabling said validation unit to identify the authenticity and value of the valuable document. 5. The valuable document receiving and alignment method as claimed in claim 1 , wherein said delivery mechanism further comprises a motor adapted for rotating said sheet-deliver wheel module. | 0.692926 |
9,185,125 | 18 | 19 | 18. The method of claim 16 , wherein the one or more segments of SQL represent potentially one or more time-consuming SQL clauses. | 18. The method of claim 16 , wherein the one or more segments of SQL represent potentially one or more time-consuming SQL clauses. 19. The method of claim 18 , wherein each of the one or more segments of SQL is associated with one or more performance parameters, and wherein the at least one scoring algorithm calculates an estimated performance metric for the target operation based on the one or more performance parameters associated with any of the one or more segments of SQL identified within the target operation. | 0.886324 |
9,514,746 | 1 | 10 | 1. A speech recognition and control system for controlling a medical device in an operating room, comprising: a medical device; a microphone receiving an audio input including one or more speech commands; an event detector analyzing the audio input and identifying at least one event of the audio input; a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity as soon as it detects that the one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with the microphone is detected; and a controller adapted to determine a system status including actions currently being performed by devices; the controller further adapted to determine whether or not hazard mitigation is necessary based on a comparison of the at least one event, at least one rule and the system status; if having determined that hazard mitigation is necessary, the controller sending a control command to the medical device instructing it to perform an action. | 1. A speech recognition and control system for controlling a medical device in an operating room, comprising: a medical device; a microphone receiving an audio input including one or more speech commands; an event detector analyzing the audio input and identifying at least one event of the audio input; a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity as soon as it detects that the one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with the microphone is detected; and a controller adapted to determine a system status including actions currently being performed by devices; the controller further adapted to determine whether or not hazard mitigation is necessary based on a comparison of the at least one event, at least one rule and the system status; if having determined that hazard mitigation is necessary, the controller sending a control command to the medical device instructing it to perform an action. 10. The system of claim 1 , wherein the control command countermands the activity based on the first one of the plurality of rules. | 0.895032 |
7,792,838 | 11 | 12 | 11. The method of claim 10 , wherein an instance is considered to belong to a virtual class of size one and a description for the instance is defined in terms of membership of the instance to the virtual class of size one. | 11. The method of claim 10 , wherein an instance is considered to belong to a virtual class of size one and a description for the instance is defined in terms of membership of the instance to the virtual class of size one. 12. The method of claim 11 , wherein the virtual class is associated with a taxonomy defined based on a range of the at least one given ontology property. | 0.959452 |
9,984,151 | 13 | 16 | 13. A machine-readable medium storing executable instructions thereon, which, when executed by a processor, cause the processor to perform operations including: receiving a query in a user session, the query comprising one or more search parameters; detecting, in the user session and after receiving the query, a user event associated with an item in search results for the query; determining a property associated with the item in the search results; creating a refinement comprising an association between the property and the one or more search parameters, wherein refinements record hierarchical associations between properties of items and a corresponding one or more search parameters, and wherein the association between the property and the one or more search parameters is associated with a score that is updated based on a plurality of user actions, wherein the score is updated based on changing the score; and ranking search results for a subsequent query on a plurality of refinements comprising the refinement. | 13. A machine-readable medium storing executable instructions thereon, which, when executed by a processor, cause the processor to perform operations including: receiving a query in a user session, the query comprising one or more search parameters; detecting, in the user session and after receiving the query, a user event associated with an item in search results for the query; determining a property associated with the item in the search results; creating a refinement comprising an association between the property and the one or more search parameters, wherein refinements record hierarchical associations between properties of items and a corresponding one or more search parameters, and wherein the association between the property and the one or more search parameters is associated with a score that is updated based on a plurality of user actions, wherein the score is updated based on changing the score; and ranking search results for a subsequent query on a plurality of refinements comprising the refinement. 16. The machine-readable medium of claim 13 , wherein the property is selected from the group consisting of a brand, a color, a price, a price range, a category, a term in a title for the item, and a size. | 0.715278 |
9,384,678 | 5 | 7 | 5. The method of claim 1 , further comprising: retrieving text, by the computer processor, from an online content source; and analyzing at least one punctuation mark in the retrieved text to determine at least one boundary of the sentence in the retrieved text, the obtaining of the sentence being in accordance with the determined boundary. | 5. The method of claim 1 , further comprising: retrieving text, by the computer processor, from an online content source; and analyzing at least one punctuation mark in the retrieved text to determine at least one boundary of the sentence in the retrieved text, the obtaining of the sentence being in accordance with the determined boundary. 7. The method of claim 5 , further comprising: parsing the sentence, by the computer processor, to apply at least one marker for the definition of the word with which the use of the word in the sentence is consistent; and storing the sentence in the database, wherein the sentence is retrievable by the at least one definition marker. | 0.782269 |
7,487,072 | 1 | 8 | 1. A method of storing and searching multimedia data, the method comprising: receiving a multimedia data signal having content that progresses based on a timing; converting the multimedia data signal into a searchable format; identifying a set of features in the searchable format and outputting the set of features as content index data; determining a set of confidence values for the set of features in the searchable format that estimates the accuracy of the set of features in the searchable format as a function of the timing of the multimedia data signal and outputting the confidence values as confidence index data; linking the content index data and the confidence index data with the multimedia data signal as a function of the timing of the multimedia data signal; storing the content index data and the confidence index data into a database that is indexed based on the set of features and the confidence values; receiving, from a requestor, a query that specifies a set of temporal parameters and content parameters; parsing the query into a set of sub-queries; selecting respective search engines for each of the sub-queries, wherein the set of the sub-queries comprises at least two sub-queries, wherein the at least two sub-queries are transmitted to at least two different search engines based on confidence index data among the stored confidence index data which corresponds to the specified set of at least the content parameters; receiving, in response to the transmitted at least two sub-queries, results from the at least two different search engines; and transmitting the received results to the requestor, wherein the converting the multimedia data signal into the searchable format comprises: receiving at least one of the set of confidence values for a previous portion of the multimedia data signal; and adjusting the conversion of a current portion of the multimedia data signal based on the received at least one set of confidence values, wherein the adjusting the conversion of the current portion of the multimedia data signal comprises: comparing the at least one set of confidence values to a threshold; and adjusting the conversion of the current portion of the multimedia data signal based on the comparison of the at least one set of confidence values to the threshold. | 1. A method of storing and searching multimedia data, the method comprising: receiving a multimedia data signal having content that progresses based on a timing; converting the multimedia data signal into a searchable format; identifying a set of features in the searchable format and outputting the set of features as content index data; determining a set of confidence values for the set of features in the searchable format that estimates the accuracy of the set of features in the searchable format as a function of the timing of the multimedia data signal and outputting the confidence values as confidence index data; linking the content index data and the confidence index data with the multimedia data signal as a function of the timing of the multimedia data signal; storing the content index data and the confidence index data into a database that is indexed based on the set of features and the confidence values; receiving, from a requestor, a query that specifies a set of temporal parameters and content parameters; parsing the query into a set of sub-queries; selecting respective search engines for each of the sub-queries, wherein the set of the sub-queries comprises at least two sub-queries, wherein the at least two sub-queries are transmitted to at least two different search engines based on confidence index data among the stored confidence index data which corresponds to the specified set of at least the content parameters; receiving, in response to the transmitted at least two sub-queries, results from the at least two different search engines; and transmitting the received results to the requestor, wherein the converting the multimedia data signal into the searchable format comprises: receiving at least one of the set of confidence values for a previous portion of the multimedia data signal; and adjusting the conversion of a current portion of the multimedia data signal based on the received at least one set of confidence values, wherein the adjusting the conversion of the current portion of the multimedia data signal comprises: comparing the at least one set of confidence values to a threshold; and adjusting the conversion of the current portion of the multimedia data signal based on the comparison of the at least one set of confidence values to the threshold. 8. The method of claim 1 , wherein the receiving the results further comprises: gathering a first set of results from each of the search engines that satisfy their respective sub-queries; and combining the first set of results into a second set of results based on satisfying the temporal parameters and content parameters of the query. | 0.501484 |
9,786,300 | 1 | 2 | 1. A single-ended speech quality measurement method comprising the steps of: for each frame of a plurality of frames containing a speech signal that has been processed by network equipment, transmitted on a communications link, or both: extracting perceptual features; and classifying the frame based on the perceptual features into a class selected from a set of classes including voiced and unvoiced; and for the frames of each class: assessing the perceptual features with a statistical model of that class to generate an indicator of speech quality, the statistical model of that class being part of a reference model which includes at least one statistical model for each class of the set of classes, the reference model generated prior to extracting the perceptual features to form indicators of speech quality, including assessing at least some unvoiced frames; and employing the indicators of speech quality from different classes to produce an estimate of subjective speech quality score without reference to a corresponding speech signal that has not been processed by network equipment, transmitted on a communications link, or both. | 1. A single-ended speech quality measurement method comprising the steps of: for each frame of a plurality of frames containing a speech signal that has been processed by network equipment, transmitted on a communications link, or both: extracting perceptual features; and classifying the frame based on the perceptual features into a class selected from a set of classes including voiced and unvoiced; and for the frames of each class: assessing the perceptual features with a statistical model of that class to generate an indicator of speech quality, the statistical model of that class being part of a reference model which includes at least one statistical model for each class of the set of classes, the reference model generated prior to extracting the perceptual features to form indicators of speech quality, including assessing at least some unvoiced frames; and employing the indicators of speech quality from different classes to produce an estimate of subjective speech quality score without reference to a corresponding speech signal that has not been processed by network equipment, transmitted on a communications link, or both. 2. The method of claim 1 including the further step of separately modeling a probability distribution of the features for each frame class and different classes of speech signals with statistical models. | 0.779826 |
7,584,171 | 10 | 18 | 10. A system for implementing a collaborative-filtering based recommendation system for recommending one or more items among a plurality of items to a current user of a network, an item representing a product, service, webpage, audio or article, the system comprising: a server computer system comprising: a scoring module configured for: producing a model using a plurality of documents generated for the plurality of items, each document representing an item and comprising item information describing the item, the item information being encoded as metadata into the document, the metadata comprising at least one attribute/value pair and taxonomy information describing the item, the model comprising a plurality of similarity measurements, each similarity measurement reflecting a level of similarity between two items in the plurality of items, wherein the level of similarity between two items is determined using the two documents representing the two items and is not based on user ratings of the two items; receiving a first rating of a first item from the current user; and determining the one or more recommended items by producing a predicated rating for each item in the plurality of items, the predicated rating of an item being produced using the received first rating and a similarity measurement, retrieved from the model, that reflects a level of similarity between the item and the first item. | 10. A system for implementing a collaborative-filtering based recommendation system for recommending one or more items among a plurality of items to a current user of a network, an item representing a product, service, webpage, audio or article, the system comprising: a server computer system comprising: a scoring module configured for: producing a model using a plurality of documents generated for the plurality of items, each document representing an item and comprising item information describing the item, the item information being encoded as metadata into the document, the metadata comprising at least one attribute/value pair and taxonomy information describing the item, the model comprising a plurality of similarity measurements, each similarity measurement reflecting a level of similarity between two items in the plurality of items, wherein the level of similarity between two items is determined using the two documents representing the two items and is not based on user ratings of the two items; receiving a first rating of a first item from the current user; and determining the one or more recommended items by producing a predicated rating for each item in the plurality of items, the predicated rating of an item being produced using the received first rating and a similarity measurement, retrieved from the model, that reflects a level of similarity between the item and the first item. 18. The system of claim 10 , wherein metadata in a document representing an item further comprises at least one keyword associated with the item or at least one search term associated with the item. | 0.655052 |
9,798,714 | 5 | 6 | 5. The method according to claim 4 , wherein the second dictionary comprises rectangles, wherein each rectangle comprises a list of sub-strings from a group of data communication packets. | 5. The method according to claim 4 , wherein the second dictionary comprises rectangles, wherein each rectangle comprises a list of sub-strings from a group of data communication packets. 6. The method according to claim 5 , wherein each sub-string in a rectangle has the same number of characters and begins at the same character position in a different communication packet. | 0.884379 |
8,898,344 | 12 | 17 | 12. A method for utilizing semantic analysis to set a measuring rate of a device that measures affective response, comprising: receiving a first indication derived from a first evaluation comprising semantic analysis of a first segment of content comprising data representing text; wherein the first evaluation comprises analysis of an aspect of a meaning of a portion of the first text; determining that the first indication indicates that a first value related to a prediction of emotional response to the first segment does not reach a first predetermined threshold, and configuring the device to measure, at a first measuring rate, affective response of a user to the first segment; receiving a second indication derived from a second evaluation comprising semantic analysis of a second segment of content comprising data representing text; wherein the second evaluation comprises analysis of an aspect of a meaning of a portion of the second text; and determining that the second indication indicates that a second value related to a prediction of emotional response to the second segment reaches a second predetermined threshold, and configuring the device to measure, at a second measuring rate, affective response of the user to the second segment; wherein while operating at the first measuring rate, the device takes at least 50% fewer measurements of affective response, per unit of measurement time, compared to measurements of affective response the device takes while operating at the second measuring rate. | 12. A method for utilizing semantic analysis to set a measuring rate of a device that measures affective response, comprising: receiving a first indication derived from a first evaluation comprising semantic analysis of a first segment of content comprising data representing text; wherein the first evaluation comprises analysis of an aspect of a meaning of a portion of the first text; determining that the first indication indicates that a first value related to a prediction of emotional response to the first segment does not reach a first predetermined threshold, and configuring the device to measure, at a first measuring rate, affective response of a user to the first segment; receiving a second indication derived from a second evaluation comprising semantic analysis of a second segment of content comprising data representing text; wherein the second evaluation comprises analysis of an aspect of a meaning of a portion of the second text; and determining that the second indication indicates that a second value related to a prediction of emotional response to the second segment reaches a second predetermined threshold, and configuring the device to measure, at a second measuring rate, affective response of the user to the second segment; wherein while operating at the first measuring rate, the device takes at least 50% fewer measurements of affective response, per unit of measurement time, compared to measurements of affective response the device takes while operating at the second measuring rate. 17. The method of claim 12 , wherein at the first measuring rate no measuring takes place of the affective response of the user to being exposed to the first segment. | 0.915306 |
9,286,379 | 1 | 9 | 1. A method for evaluating document quality, the method comprising: for a first plurality of documents, performing for each document of the first plurality of documents: identifying, by a computer system, quality attributes associated with the each document of the first plurality of documents, the quality attributes including characterizations of usage of the each document of the first plurality of documents, relevance of text in the each document of the first plurality of documents to one or more topics, and quantity of text and media; associating, by the computer system, a classifier from a plurality of classifiers with the each document of the first plurality of documents in accordance with relevance of content of the each document of the first plurality of documents to the classifier, by selecting the classifier from a taxonomy of concepts as being representative of the each document of the first plurality of documents by evaluating meanings of textual representations within the each document of the first plurality of documents; and receiving, by the computer system, a ranking of the each document of the first plurality of documents; training a plurality of class-specific models each corresponding to a classifier of the plurality of classifiers by, for each classifier of the plurality of classifiers, training, by the computer system, a class-specific model of the plurality of class-specific models corresponding to the each classifier of the plurality of classifiers according to the ranking of the first plurality of documents associated with the each classifier of the plurality of classifiers and both of the quality attributes associated with documents of the first plurality of documents associated with the each classifier of the plurality of classifiers and the content of the documents of the first plurality of documents associated with the each classifier of the plurality of classifiers; and for a second plurality of documents, performing, by the computer system, for each document of the second plurality of documents: identifying quality attributes associated with the each document of the second plurality of documents; associating a classifier with the each document of the second plurality of documents in accordance with relevance of content of the each document of the second plurality of documents to the classifier; inputting, by the computer system, the each document of the second plurality of documents to a selected class-specific model of the plurality of class-specific models corresponding to the classifier associated with the each document of the second plurality of documents; ranking, by the computer system, each document of the second plurality of documents according to the selected class-specific model using as inputs both of the quality attributes and the content of the each document of the second plurality of documents. | 1. A method for evaluating document quality, the method comprising: for a first plurality of documents, performing for each document of the first plurality of documents: identifying, by a computer system, quality attributes associated with the each document of the first plurality of documents, the quality attributes including characterizations of usage of the each document of the first plurality of documents, relevance of text in the each document of the first plurality of documents to one or more topics, and quantity of text and media; associating, by the computer system, a classifier from a plurality of classifiers with the each document of the first plurality of documents in accordance with relevance of content of the each document of the first plurality of documents to the classifier, by selecting the classifier from a taxonomy of concepts as being representative of the each document of the first plurality of documents by evaluating meanings of textual representations within the each document of the first plurality of documents; and receiving, by the computer system, a ranking of the each document of the first plurality of documents; training a plurality of class-specific models each corresponding to a classifier of the plurality of classifiers by, for each classifier of the plurality of classifiers, training, by the computer system, a class-specific model of the plurality of class-specific models corresponding to the each classifier of the plurality of classifiers according to the ranking of the first plurality of documents associated with the each classifier of the plurality of classifiers and both of the quality attributes associated with documents of the first plurality of documents associated with the each classifier of the plurality of classifiers and the content of the documents of the first plurality of documents associated with the each classifier of the plurality of classifiers; and for a second plurality of documents, performing, by the computer system, for each document of the second plurality of documents: identifying quality attributes associated with the each document of the second plurality of documents; associating a classifier with the each document of the second plurality of documents in accordance with relevance of content of the each document of the second plurality of documents to the classifier; inputting, by the computer system, the each document of the second plurality of documents to a selected class-specific model of the plurality of class-specific models corresponding to the classifier associated with the each document of the second plurality of documents; ranking, by the computer system, each document of the second plurality of documents according to the selected class-specific model using as inputs both of the quality attributes and the content of the each document of the second plurality of documents. 9. The method of claim 1 , wherein identifying quality attributes of a document of one or both of the first and second plurality of documents comprises identifying a richness of content of the document. | 0.732804 |
10,013,490 | 4 | 9 | 4. A system, comprising: at least one computing device; and an application marketplace system executable in the at least one computing device, wherein when executed the application marketplace system causes the at least one computing device to at least: in response to receiving an application and first application metadata, scan the application to identify second application metadata; add the first application metadata and the second application metadata to a search index corresponding to a plurality of applications offered via the application marketplace system; in response to receiving a search query, perform a search of the search index for the search query; and generate at least one search result from the search. | 4. A system, comprising: at least one computing device; and an application marketplace system executable in the at least one computing device, wherein when executed the application marketplace system causes the at least one computing device to at least: in response to receiving an application and first application metadata, scan the application to identify second application metadata; add the first application metadata and the second application metadata to a search index corresponding to a plurality of applications offered via the application marketplace system; in response to receiving a search query, perform a search of the search index for the search query; and generate at least one search result from the search. 9. The system of claim 4 , wherein scanning the application further comprises scanning executable code of the application for character data. | 0.911543 |
7,769,591 | 25 | 27 | 25. A tangible computer readable medium having stored thereon computer-executable instructions that, if executed by a computing device, cause the computing device to perform a method comprising: receiving, at the local device, a speech input; identifying keywords in the speech input; establishing communications between the local device and a remote system, wherein the communications comprise: high bandwidth communications configured to return data supporting audio or video output at the local device, and low bandwidth communications configured to return data supporting the remote control signals; determining, at the local device, whether the local device is capable of processing the speech input based on whether one or more keywords are identified in the speech input; if the local device is capable of processing the speech input, then processing the speech input at the local device, generating corresponding local control signals, and transmitting the local control signals to the primary functionality component to direct an action in the primary functionality component; and if the local device is not capable of processing the speech input, then extracting feature parameters from the speech input for processing at the remote system, sending the feature parameters to the remote system for processing by storing an acoustic model of the feature parameters and recognizing a command based on a previously stored acoustic model associated with the local device to address specific characteristics of the feature parameter, receiving remote control signals from the remote system responsive to the feature parameters via the low bandwidth communications, and sending the remote control signals to the primary functionality component. | 25. A tangible computer readable medium having stored thereon computer-executable instructions that, if executed by a computing device, cause the computing device to perform a method comprising: receiving, at the local device, a speech input; identifying keywords in the speech input; establishing communications between the local device and a remote system, wherein the communications comprise: high bandwidth communications configured to return data supporting audio or video output at the local device, and low bandwidth communications configured to return data supporting the remote control signals; determining, at the local device, whether the local device is capable of processing the speech input based on whether one or more keywords are identified in the speech input; if the local device is capable of processing the speech input, then processing the speech input at the local device, generating corresponding local control signals, and transmitting the local control signals to the primary functionality component to direct an action in the primary functionality component; and if the local device is not capable of processing the speech input, then extracting feature parameters from the speech input for processing at the remote system, sending the feature parameters to the remote system for processing by storing an acoustic model of the feature parameters and recognizing a command based on a previously stored acoustic model associated with the local device to address specific characteristics of the feature parameter, receiving remote control signals from the remote system responsive to the feature parameters via the low bandwidth communications, and sending the remote control signals to the primary functionality component. 27. The computer program product of claim 25 , wherein establishing communications between the local device and the remote system comprises: establishing the communications between the local device and the remote system upon identification of a wake up command. | 0.548443 |
8,843,362 | 11 | 12 | 11. A computerized process comprising: receiving at a computer processor data relating to a composition of a target group; receiving at the computer processor logged communications of the target group; extracting with the computer processor textual information from the logged communications; analyzing with the computer processor the textual information using statistical and linguistic sentiment analysis techniques; generating one or more vectors from the analysis of the textual information; combining one or more assessments from multiple vectors; identifying with the computer processor an individual or sub-group from the target group as a function of the analysis of the textual information; and causing to be displayed on a user interface or transmitting to another processor the identified individual or sub-group of the target group and causing to be displayed on the user interface or transmitting to another processor a sentiment assessment of the identified individual or sub-group as a function of the statistical and linguistic sentiment analysis; wherein the logged communications are a database of recorded audio voices; and wherein the system comprises a processor configured to analyze the one or more recorded audio voices for audio voice characteristics; and wherein the one or more processors are further configured to analyze the sentiment of the individual or sub-group over a period of time. | 11. A computerized process comprising: receiving at a computer processor data relating to a composition of a target group; receiving at the computer processor logged communications of the target group; extracting with the computer processor textual information from the logged communications; analyzing with the computer processor the textual information using statistical and linguistic sentiment analysis techniques; generating one or more vectors from the analysis of the textual information; combining one or more assessments from multiple vectors; identifying with the computer processor an individual or sub-group from the target group as a function of the analysis of the textual information; and causing to be displayed on a user interface or transmitting to another processor the identified individual or sub-group of the target group and causing to be displayed on the user interface or transmitting to another processor a sentiment assessment of the identified individual or sub-group as a function of the statistical and linguistic sentiment analysis; wherein the logged communications are a database of recorded audio voices; and wherein the system comprises a processor configured to analyze the one or more recorded audio voices for audio voice characteristics; and wherein the one or more processors are further configured to analyze the sentiment of the individual or sub-group over a period of time. 12. The computerized process of claim 11 , wherein the data relating to a composition of a target group comprises one or more of a one to many relationship or a many to many relationship. | 0.885135 |
10,089,351 | 1 | 3 | 1. A computer program product, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therein, wherein the computer readable program code, when executed by at least one processor of a computer, is configured to perform: retrieving a report specification that includes one or more query declarations of data to be presented and one or more layout declarations describing how the data is to be rendered; retrieving a semantic model with concepts, wherein the semantic model comprises a Web Ontology Language (OWL) model; generating a Business Intelligence (BI) metadata model by executing transformations that transform concepts in the semantic model to BI metadata constructs by: constructing a table for each semantic class in the semantic model; constructing a column for each semantic data type property restriction; and constructing a relationship for each semantic object property restriction; receiving a request for a combined report that combines result sets from the semantic model and one or more relational data sources comprising relational databases; constructing one or more first queries using the BI metadata model and the one or more query declarations; executing the one or more first queries on the semantic model to obtain one or more semantic result sets; executing one or more second queries against one or more relational data sources to obtain one or more relational data source result sets; combining the one or more semantic result sets and the one or more relational data source result sets to construct one or more combined result sets; and rendering the one or more combined result sets to form a combined report based on the one or more layout declarations. | 1. A computer program product, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therein, wherein the computer readable program code, when executed by at least one processor of a computer, is configured to perform: retrieving a report specification that includes one or more query declarations of data to be presented and one or more layout declarations describing how the data is to be rendered; retrieving a semantic model with concepts, wherein the semantic model comprises a Web Ontology Language (OWL) model; generating a Business Intelligence (BI) metadata model by executing transformations that transform concepts in the semantic model to BI metadata constructs by: constructing a table for each semantic class in the semantic model; constructing a column for each semantic data type property restriction; and constructing a relationship for each semantic object property restriction; receiving a request for a combined report that combines result sets from the semantic model and one or more relational data sources comprising relational databases; constructing one or more first queries using the BI metadata model and the one or more query declarations; executing the one or more first queries on the semantic model to obtain one or more semantic result sets; executing one or more second queries against one or more relational data sources to obtain one or more relational data source result sets; combining the one or more semantic result sets and the one or more relational data source result sets to construct one or more combined result sets; and rendering the one or more combined result sets to form a combined report based on the one or more layout declarations. 3. The computer program product of claim 1 , wherein the computer readable program code, when executed by the at least one processor of the computer, is configured to perform: generating, for the BI metadata model, a graphical representation for each table described in the BI metadata model, wherein each of the graphical representations includes columns for that table, and wherein lines between the graphical representations indicate relationships between the tables. | 0.501062 |
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