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10. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a client device, cause the client device to perform operations comprising: rendering a web page for display on the client device, wherein the rendered web page includes a first document and a first advertisement that is based on the first document; determining that a first scroll position of the rendered web page has a first characteristic; responsive to determining that the first scroll position of the rendered web page has the first characteristic, (i) requesting and receiving a second document from a content server device, and (ii) based on the second document, requesting and receiving a second advertisement from an advertisement server device; and re-rendering the web page for display on the client device, wherein the re-rendered web page includes content from the first document, content from the second document, the first advertisement, and the second advertisement, wherein not all content from the first document and second document is displayed on the re-rendered web page, wherein the first advertisement is based on non-displayed parts of the first document, and wherein the second advertisement is based on non-displayed parts of the second document. | 10. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a client device, cause the client device to perform operations comprising: rendering a web page for display on the client device, wherein the rendered web page includes a first document and a first advertisement that is based on the first document; determining that a first scroll position of the rendered web page has a first characteristic; responsive to determining that the first scroll position of the rendered web page has the first characteristic, (i) requesting and receiving a second document from a content server device, and (ii) based on the second document, requesting and receiving a second advertisement from an advertisement server device; and re-rendering the web page for display on the client device, wherein the re-rendered web page includes content from the first document, content from the second document, the first advertisement, and the second advertisement, wherein not all content from the first document and second document is displayed on the re-rendered web page, wherein the first advertisement is based on non-displayed parts of the first document, and wherein the second advertisement is based on non-displayed parts of the second document. 12. The article of manufacture of claim 10 , wherein the first document includes a plurality of selectable items corresponding to respective types of web page content, and wherein the content from the second document is related to one of the selectable items. | 0.761831 |
17. A method of classifying a domain name, comprising: identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name; determining a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams, the multidimensional space including a plurality of domain name classifications that each include a corresponding one or more vector points; comparing the domain name vector point in the multidimensional space with a first plurality of vector points located in the multidimensional space to determine first distances between the domain name vector point and the first plurality of vector points in the multidimensional space, wherein each of the first plurality of vector points corresponds to each of a first plurality of domain names classified in a first domain name classification; comparing the domain name vector point in the multidimensional space with a second plurality of vector points located in the multidimensional space to determine second distances between the domain name vector point and the second plurality of vector points in the multidimensional space, wherein each of the second plurality of vector points corresponds to each of a second plurality of domain names classified in a second domain name classification; determining whether the domain name is correlated to the first plurality of domain names based on the first distances between the domain name vector point and the first plurality of vector points in the multidimensional space; determining whether the domain name is correlated to the second plurality of domain names based on the second distances between the domain name vector point and the second plurality of vector points in the multidimensional space; and classifying the domain name in the first domain name classification if it is determined that the first plurality of vector points and the domain name vector point are correlated. | 17. A method of classifying a domain name, comprising: identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name; determining a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams, the multidimensional space including a plurality of domain name classifications that each include a corresponding one or more vector points; comparing the domain name vector point in the multidimensional space with a first plurality of vector points located in the multidimensional space to determine first distances between the domain name vector point and the first plurality of vector points in the multidimensional space, wherein each of the first plurality of vector points corresponds to each of a first plurality of domain names classified in a first domain name classification; comparing the domain name vector point in the multidimensional space with a second plurality of vector points located in the multidimensional space to determine second distances between the domain name vector point and the second plurality of vector points in the multidimensional space, wherein each of the second plurality of vector points corresponds to each of a second plurality of domain names classified in a second domain name classification; determining whether the domain name is correlated to the first plurality of domain names based on the first distances between the domain name vector point and the first plurality of vector points in the multidimensional space; determining whether the domain name is correlated to the second plurality of domain names based on the second distances between the domain name vector point and the second plurality of vector points in the multidimensional space; and classifying the domain name in the first domain name classification if it is determined that the first plurality of vector points and the domain name vector point are correlated. 18. The method of claim 17 , further comprising classifying the domain name in the second domain name classification if it is determined that the second plurality of vector points and the domain name vector point are correlated. | 0.50715 |
1. A method comprising: by a client computing device, identifying one or more objects or references to the objects embedded in a structured document displayed to a first user, wherein: the structured document is a markup-language document displayed as a webpage; and the objects originate from one or more sources external to a social-networking system; by the client computing device, accessing a social graph of the social-networking system to: determine if one or more second users having an association with the first user have accessed or are accessing any of the identified objects; and retrieve, from the social-networking system, one or more social-network data elements comprising social-network profile information provided by one or more of the second users to the social-networking system; and by the client computing device, modifying, for at least one of the objects, the structured document displayed as a webpage to the first user to indicate that the object embedded in the structured document and originating from the sources external to the social-networking system has been accessed or is being accessed by one or more of the second users, wherein modifying the structured document comprises displaying, proximal to the object, one or more of the social-network data elements. | 1. A method comprising: by a client computing device, identifying one or more objects or references to the objects embedded in a structured document displayed to a first user, wherein: the structured document is a markup-language document displayed as a webpage; and the objects originate from one or more sources external to a social-networking system; by the client computing device, accessing a social graph of the social-networking system to: determine if one or more second users having an association with the first user have accessed or are accessing any of the identified objects; and retrieve, from the social-networking system, one or more social-network data elements comprising social-network profile information provided by one or more of the second users to the social-networking system; and by the client computing device, modifying, for at least one of the objects, the structured document displayed as a webpage to the first user to indicate that the object embedded in the structured document and originating from the sources external to the social-networking system has been accessed or is being accessed by one or more of the second users, wherein modifying the structured document comprises displaying, proximal to the object, one or more of the social-network data elements. 7. The method of claim 1 , further comprising: by the client computing device, accessing the social graph of the social-networking system to retrieve, from the social-networking stem, one or more sets of aggregate interaction statistics; and by the client computer device, displaying, proximal to the object, one or more of the sets of aggregate interaction statistics. | 0.699187 |
52. The method of claim 28 wherein each of the synsets is stored in a table and is defined by fields including: a synset ID, a grammar type, a list of lemmas, a set of attributes, a set of semantic links, and a gloss. | 52. The method of claim 28 wherein each of the synsets is stored in a table and is defined by fields including: a synset ID, a grammar type, a list of lemmas, a set of attributes, a set of semantic links, and a gloss. 53. The method of claim 52 wherein each lemma and is defined by fields including: a list of synset IDs, and lemma attributes. | 0.94612 |
12. The method according to claim 1 , further comprising dividing said source material segments into a plurality of source segments prior to said comparison of said source material segments with said stored material segments. | 12. The method according to claim 1 , further comprising dividing said source material segments into a plurality of source segments prior to said comparison of said source material segments with said stored material segments. 15. The method according to claim 12 , wherein said source material segments are divided into said plurality of source segments where at least one of: a full stop, an exclamation mark, a question mark, a colon, a semicolon, a tab character, or a paragraph mark, appears in said source material segments. | 0.878891 |
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. 10. The method of claim 6 , wherein the formed markup-language user document is formed utilizing the determined object dependency such that an object definition dependent upon an independent object definition is positioned after the independent object definition within the formed markup-language user document to facilitate export of the independent object definition before the dependent object definition. | 0.621996 |
3. The method of claim 1 , further comprising sending by the server system a text message to the first communication device advising of the receipt of the redirected call. | 3. The method of claim 1 , further comprising sending by the server system a text message to the first communication device advising of the receipt of the redirected call. 7. The method of claim 3 , further comprising receiving a call by the server system from the first communication device directed to the common identifier and redirecting the call to the second communication device. | 0.902803 |
1. A method for frequency-lowering of audio signals for improved speech perception, comprising: receiving, by an analysis module of a device, a first audio signal; detecting, by the analysis module, one or more spectral characteristics of the first audio signal, the detected one or more spectral characteristics corresponding to one or more respective non-sonorant sounds; classifying, by the analysis module, the one or more respective non-sonorant sounds, based on the detected one or more spectral characteristics of the first audio signal; selecting, by a synthesis module of the device, a second audio signal from a plurality of audio signals, responsive to at least the classification of the one or more respective non-sonorant sounds; and combining, by the synthesis module of the device, at least a portion of the first audio signal with the second audio signal for output to form a combined audio signal with frequency characteristics audible to the user. | 1. A method for frequency-lowering of audio signals for improved speech perception, comprising: receiving, by an analysis module of a device, a first audio signal; detecting, by the analysis module, one or more spectral characteristics of the first audio signal, the detected one or more spectral characteristics corresponding to one or more respective non-sonorant sounds; classifying, by the analysis module, the one or more respective non-sonorant sounds, based on the detected one or more spectral characteristics of the first audio signal; selecting, by a synthesis module of the device, a second audio signal from a plurality of audio signals, responsive to at least the classification of the one or more respective non-sonorant sounds; and combining, by the synthesis module of the device, at least a portion of the first audio signal with the second audio signal for output to form a combined audio signal with frequency characteristics audible to the user. 6. The method of claim 1 further comprising: classifying the one or more non-sonorant sounds in the first audio signal as belonging to a second group of one of a predetermined plurality of groups having distinct spectral characteristics, based on a spectral slope of the first audio signal exceeding a threshold and a spectral peak location of the first audio signal not exceeding a second threshold. | 0.641109 |
7. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving a voice query that includes a pronoun; determining a stress score for the pronoun that reflects an extent to which the pronoun was stressed in the voice query; identifying two or more candidate entities that are associated with two or more answers that a search engine generates for two or more corresponding voice queries that preceded the voice query; selecting, as a particular entity, (i) an entity associated with an answer that the search engine generates for an immediately preceding voice query when the stress score satisfies a predetermined threshold, or (ii) an entity associated with an answer that is generated for a voice query that is not the immediately preceding voice query when the stress score does not satisfy the predetermined threshold; and revising the received voice query to refer to the particular entity that was selected based on the comparison of the stress score to the predetermined threshold; and providing one or more query results that are responsive to the revised voice query for output on a client device. | 7. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving a voice query that includes a pronoun; determining a stress score for the pronoun that reflects an extent to which the pronoun was stressed in the voice query; identifying two or more candidate entities that are associated with two or more answers that a search engine generates for two or more corresponding voice queries that preceded the voice query; selecting, as a particular entity, (i) an entity associated with an answer that the search engine generates for an immediately preceding voice query when the stress score satisfies a predetermined threshold, or (ii) an entity associated with an answer that is generated for a voice query that is not the immediately preceding voice query when the stress score does not satisfy the predetermined threshold; and revising the received voice query to refer to the particular entity that was selected based on the comparison of the stress score to the predetermined threshold; and providing one or more query results that are responsive to the revised voice query for output on a client device. 8. The medium of claim 7 , wherein the determined stress score is based on a plurality of acoustic parameters associated with the voice query. | 0.635057 |
1. A computer-implemented method comprising: causing display of a set of events that are search results of a search query that specifies a plurality of commands, each event corresponding to a portion of raw machine data associated with a timestamp extracted from the portion of raw machine data, the display of the set of events being in a table format that includes: one or more columns, each column comprising data items of an event attribute, the data items being of the set of events; and a plurality of rows forming cells with the one or more columns, each cell displaying a textual representation of at least one of the data items of the event attribute of a corresponding column, the textual representation being selectable by a user, the textual representation including at least some of the portion of raw machine data of a corresponding event; based on a user selection of a text portion of the textual representation in a corresponding cell: causing display of a list of options corresponding to the selected text portion of the textual representation in the corresponding cell; and causing one or more commands to be added to the plurality of commands specified in the search query, wherein the one or more commands are based on an option that is selected from the list of options and the selected text portion of the textual representation in the corresponding cell. | 1. A computer-implemented method comprising: causing display of a set of events that are search results of a search query that specifies a plurality of commands, each event corresponding to a portion of raw machine data associated with a timestamp extracted from the portion of raw machine data, the display of the set of events being in a table format that includes: one or more columns, each column comprising data items of an event attribute, the data items being of the set of events; and a plurality of rows forming cells with the one or more columns, each cell displaying a textual representation of at least one of the data items of the event attribute of a corresponding column, the textual representation being selectable by a user, the textual representation including at least some of the portion of raw machine data of a corresponding event; based on a user selection of a text portion of the textual representation in a corresponding cell: causing display of a list of options corresponding to the selected text portion of the textual representation in the corresponding cell; and causing one or more commands to be added to the plurality of commands specified in the search query, wherein the one or more commands are based on an option that is selected from the list of options and the selected text portion of the textual representation in the corresponding cell. 20. The computer-implemented method of claim 1 , comprising: based on the user selection of the text portion of the textual representation in the corresponding cell, causing a command entry that represents the one or more commands to be automatically added to a displayed list of command entries in the search interface, each of the command entries respectively representing one or more commands of a plurality of commands of the search query, the list of command entries being displayed in a sequence corresponding to the plurality of commands of the search query. | 0.578241 |
11. The system of claim 8 , wherein generating an intermediate representation of the physical query, comprises: resolving any indirect references to the physical database included in the physical query; dividing the physical query into a set of regions, and for each region creating an abstract query plan fragment corresponding to the region, wherein each abstract query plan fragment includes a set of one or more table instances, wherein each table instance includes: (i) a table from the physical database, wherein the table is referenced by the corresponding region of the physical query; (ii) an indication of the columns, in the table, that are referenced by the corresponding region of the physical query; and (iii) any conditions specified by the physical query that are applied against the tables and columns for the corresponding region; and joining the created abstract query plan fragments together to form an abstract query plan, wherein the fragments are joined according to relationships between tables in the physical database. | 11. The system of claim 8 , wherein generating an intermediate representation of the physical query, comprises: resolving any indirect references to the physical database included in the physical query; dividing the physical query into a set of regions, and for each region creating an abstract query plan fragment corresponding to the region, wherein each abstract query plan fragment includes a set of one or more table instances, wherein each table instance includes: (i) a table from the physical database, wherein the table is referenced by the corresponding region of the physical query; (ii) an indication of the columns, in the table, that are referenced by the corresponding region of the physical query; and (iii) any conditions specified by the physical query that are applied against the tables and columns for the corresponding region; and joining the created abstract query plan fragments together to form an abstract query plan, wherein the fragments are joined according to relationships between tables in the physical database. 13. The system of claim 11 , wherein each region of the physical query is identified by an SQL select statement sub query within the physical query. | 0.886407 |
13. The computer-readable storage medium of claim 12 , wherein providing the at least one context further comprises: obtaining information about the at least one context; and creating an object instance for the at least one context. | 13. The computer-readable storage medium of claim 12 , wherein providing the at least one context further comprises: obtaining information about the at least one context; and creating an object instance for the at least one context. 14. The computer-readable storage medium of claim 13 , further comprising: creating the at least one context hash object containing the object instance of the at least one context. | 0.95669 |
1. A computer-implemented method comprising: determining, based on applying an input gesture to a vocabulary of modeled training gestures: a likelihood that the input gesture matches each modeled training gesture, and a modeled training gesture having a highest likelihood; subsequent to determining the modeled training gesture having the highest likelihood, determining a quantity of states of the input gesture that match corresponding states of the modeled training gesture determined to have the highest likelihood, wherein each state of both the input gesture and the modeled training gesture comprises a portion of a gesture; and rejecting, with a processor, the input gesture if the determined quantity of matching states does not satisfy a threshold, wherein the threshold expresses a quantity or percentage of the total quantity of the states of the input gesture. | 1. A computer-implemented method comprising: determining, based on applying an input gesture to a vocabulary of modeled training gestures: a likelihood that the input gesture matches each modeled training gesture, and a modeled training gesture having a highest likelihood; subsequent to determining the modeled training gesture having the highest likelihood, determining a quantity of states of the input gesture that match corresponding states of the modeled training gesture determined to have the highest likelihood, wherein each state of both the input gesture and the modeled training gesture comprises a portion of a gesture; and rejecting, with a processor, the input gesture if the determined quantity of matching states does not satisfy a threshold, wherein the threshold expresses a quantity or percentage of the total quantity of the states of the input gesture. 5. The method of claim 1 , further comprising: determining a second quantity of states of the rejected input gesture that match corresponding states of a second modeled training gesture determined to have a second highest likelihood; and rejecting the rejected input gesture if the determined second quantity fails to satisfy the threshold. | 0.597534 |
2. The system of claim 1 , wherein the process integration scenario associated with the graphical element being edited by the editor is retrieved from the local database and comprises at least one of the following scenario objects: application components, actions and connections, wherein the scenario object is associated with an object identifier and a version of the scenario object is associated with the object version identifier, and wherein the editing of the graphical element of the process integration scenario comprises creating, modifying or deleting the scenario object included in the scenario. | 2. The system of claim 1 , wherein the process integration scenario associated with the graphical element being edited by the editor is retrieved from the local database and comprises at least one of the following scenario objects: application components, actions and connections, wherein the scenario object is associated with an object identifier and a version of the scenario object is associated with the object version identifier, and wherein the editing of the graphical element of the process integration scenario comprises creating, modifying or deleting the scenario object included in the scenario. 3. The system of claim 2 , wherein the process integration scenario represents a business process between business components, the business components represent business partners, the actions represent process steps between the business partners and the connections represent channels between the actions configured for an exchange of electronic messages, and wherein the industry standard language is based on Web Services Business Process Execution Language, Business Process Model and Notation, or Web Services Description Language. | 0.866221 |
1. A method for identifying a particular processing context for running script in a computing system such that the default context is modified, the method comprising: at a computing system, using one or more processors to: access a script, wherein the script is just a portion of a script pipelined command: interpret a script to identify a plurality of executable components to invoke, wherein the plurality of executable components have a default context in which they are each run within a first process; identify one or more properties of a first of the plurality of identified executable components, the one or more properties being contained within the script; identify one or more processing context configuration files associated with the first of the plurality of identified executable components by using the one or more properties, the one or more processing context configuration files being separate from the script; and use the one or more processing context configuration files to identify a processing context for the identified first executable component, wherein the identified processing context for the first executable component is different than the default context and defines a modified context in which the first executable component is removed from the first process and is run within a second process that is different than the first process and wherein a particular version of an interpreter is required to run any process in which the first executable component is run. | 1. A method for identifying a particular processing context for running script in a computing system such that the default context is modified, the method comprising: at a computing system, using one or more processors to: access a script, wherein the script is just a portion of a script pipelined command: interpret a script to identify a plurality of executable components to invoke, wherein the plurality of executable components have a default context in which they are each run within a first process; identify one or more properties of a first of the plurality of identified executable components, the one or more properties being contained within the script; identify one or more processing context configuration files associated with the first of the plurality of identified executable components by using the one or more properties, the one or more processing context configuration files being separate from the script; and use the one or more processing context configuration files to identify a processing context for the identified first executable component, wherein the identified processing context for the first executable component is different than the default context and defines a modified context in which the first executable component is removed from the first process and is run within a second process that is different than the first process and wherein a particular version of an interpreter is required to run any process in which the first executable component is run. 6. A method in accordance with claim 1 , wherein the one or more processors act with an executable interpretation component to interpret the script. | 0.695519 |
32. The information analysis method according to claim 22 , further comprising the steps of: (d) generating training data from training text information including information indicating whether or not each sentence of the training text information is the target information, by generating a plurality of units of training each composed of a plurality of sentences of the training text information, from the training text information in accordance with a setting condition, setting, for each unit of training, a target information density indicating an amount of the target information included in the unit of training, with reference to information indicating whether or not each sentence of the unit of training is the target information, further obtaining, for each unit of training, a feature quantity from information acquired from a word or a clause in each sentence of the unit of training, and generating the target information density and the feature quantity of each unit of training as the training data; and (e) learning a density estimation model usable in the density estimation performed in the step (a), using the training data generated in the step (d), wherein in the step (a), for each unit of analysis, the density is estimated in accordance with the density estimation model acquired in the step (e). | 32. The information analysis method according to claim 22 , further comprising the steps of: (d) generating training data from training text information including information indicating whether or not each sentence of the training text information is the target information, by generating a plurality of units of training each composed of a plurality of sentences of the training text information, from the training text information in accordance with a setting condition, setting, for each unit of training, a target information density indicating an amount of the target information included in the unit of training, with reference to information indicating whether or not each sentence of the unit of training is the target information, further obtaining, for each unit of training, a feature quantity from information acquired from a word or a clause in each sentence of the unit of training, and generating the target information density and the feature quantity of each unit of training as the training data; and (e) learning a density estimation model usable in the density estimation performed in the step (a), using the training data generated in the step (d), wherein in the step (a), for each unit of analysis, the density is estimated in accordance with the density estimation model acquired in the step (e). 33. The information analysis method according to claim 32 , wherein in the step (d), the plurality of units of training are generated, such that a sentence included in each unit of training coincides with a sentence included in another unit of training, and a feature quantity is further obtained for each unit of training from one or more types of information that include information acquired from a word or a clause in each sentence of the unit of training and information acquired by comparing the training text information and each sentence of the unit of training. | 0.607282 |
13. A system having at least one processor, storage, and a communication platform connected to a network for providing a response to a search query, the system comprising: a search provider implemented on the at least one processor and operative to: receive a search query from a user; generate a search result set that comprises a plurality of search results with respect to a plurality of facets of the search query, each of the plurality of search results having a respective ranking; identify a number of facets to be selected from the plurality of facets based on a probability distribution that a given search result in the search result set is a search result desired by the user for the search query; obtain a model constructed based on the probability distribution and expected reduction of effort made by the user to reach the search result desired by the user given that the plurality of facets are shown to the user; select the number of facets from the plurality of facets, wherein each of the selected number of facets is associated with a maximum incremental value of the expected reduction of effort in accordance with the model; and provide the selected number of facets in response to the search query. | 13. A system having at least one processor, storage, and a communication platform connected to a network for providing a response to a search query, the system comprising: a search provider implemented on the at least one processor and operative to: receive a search query from a user; generate a search result set that comprises a plurality of search results with respect to a plurality of facets of the search query, each of the plurality of search results having a respective ranking; identify a number of facets to be selected from the plurality of facets based on a probability distribution that a given search result in the search result set is a search result desired by the user for the search query; obtain a model constructed based on the probability distribution and expected reduction of effort made by the user to reach the search result desired by the user given that the plurality of facets are shown to the user; select the number of facets from the plurality of facets, wherein each of the selected number of facets is associated with a maximum incremental value of the expected reduction of effort in accordance with the model; and provide the selected number of facets in response to the search query. 16. The system of claim 13 , wherein the model comprises a user drill-down model. | 0.556884 |
1. A method of accessing a schema-free database, comprising: constructing a model indicating a desired data structure for data stored in the schema-free database to be used by an application accessing the data, wherein the model is constructed using a desired data structure extracted from a program of the application independently of the data or data relationships stored in the schema-free database, wherein the desired data structure includes a plurality of data fields and the schema-free database includes data with data properties; validating the model to provide a validated model based on the desired structure and data stored in the schema-free database by determining whether the schema-free database contains data that satisfies the desired data structure and confirming that data fields in the desired data structure corresponds to data properties provided in the schema-free database; generating an application program interface (API) for the application using the validated model in response to determining that the schema-free database satisfies the desired structure; and accessing the schema-free database using the API, wherein the API enables access by the application to the data stored in the schema-free database according to the desired structure by presenting data from the schema-free database to the application using the API in a form according to the desired structure, enabling the application to access and manipulate data of the schema-free database based on an index, wherein the index contains entries for each indexed data and corresponding entry indicating a node in the schema-free database, and presenting a schema-based interface to the application to facilitate arranging the data stored in the schema-free database without the data being stored in any schema-based platform. | 1. A method of accessing a schema-free database, comprising: constructing a model indicating a desired data structure for data stored in the schema-free database to be used by an application accessing the data, wherein the model is constructed using a desired data structure extracted from a program of the application independently of the data or data relationships stored in the schema-free database, wherein the desired data structure includes a plurality of data fields and the schema-free database includes data with data properties; validating the model to provide a validated model based on the desired structure and data stored in the schema-free database by determining whether the schema-free database contains data that satisfies the desired data structure and confirming that data fields in the desired data structure corresponds to data properties provided in the schema-free database; generating an application program interface (API) for the application using the validated model in response to determining that the schema-free database satisfies the desired structure; and accessing the schema-free database using the API, wherein the API enables access by the application to the data stored in the schema-free database according to the desired structure by presenting data from the schema-free database to the application using the API in a form according to the desired structure, enabling the application to access and manipulate data of the schema-free database based on an index, wherein the index contains entries for each indexed data and corresponding entry indicating a node in the schema-free database, and presenting a schema-based interface to the application to facilitate arranging the data stored in the schema-free database without the data being stored in any schema-based platform. 4. The method, according to claim 1 , further comprising: constructing an optimization for each field of data provided in the data model. | 0.571698 |
10. A method for monitoring a photolithography system, comprising: defining a reference model of the photolithography system for modeling top and bottom critical dimension data associated with features formed by the photolithography system as a function of dose and focus, the reference model having a plurality of terms; generating a reference fit error metric for the reference model; generating a set of evaluation models each having one term different than the reference model; generating an evaluation fit error metric for each of the evaluation models; replacing the reference model with a selected evaluation model responsive to the selected evaluation model having an evaluation fit error metric less than the reference fit error metric; repeating, based on the replaced reference model, the generating of the reference fit error metric, the generating of the set of evaluation models, the generating of the evaluation fit error metrics, and the replacing of the reference model until no evaluation model has an evaluation fit error metric less than the reference fit error metric; training the reference model for which no evaluation model has an evaluation fit error metric less than the reference fit error metric using the top and bottom critical dimension data; receiving a top critical dimension measurement and a bottom critical dimension measurement of a feature formed by the photolithography system using a commanded dose parameter and a commanded focus parameter; employing the trained reference model using the top and bottom critical dimension measurements to determine values for a received dose parameter and a received focus parameter; and comparing the received dose and focus parameters to the commanded dose and focus parameters to characterize the photolithography system. | 10. A method for monitoring a photolithography system, comprising: defining a reference model of the photolithography system for modeling top and bottom critical dimension data associated with features formed by the photolithography system as a function of dose and focus, the reference model having a plurality of terms; generating a reference fit error metric for the reference model; generating a set of evaluation models each having one term different than the reference model; generating an evaluation fit error metric for each of the evaluation models; replacing the reference model with a selected evaluation model responsive to the selected evaluation model having an evaluation fit error metric less than the reference fit error metric; repeating, based on the replaced reference model, the generating of the reference fit error metric, the generating of the set of evaluation models, the generating of the evaluation fit error metrics, and the replacing of the reference model until no evaluation model has an evaluation fit error metric less than the reference fit error metric; training the reference model for which no evaluation model has an evaluation fit error metric less than the reference fit error metric using the top and bottom critical dimension data; receiving a top critical dimension measurement and a bottom critical dimension measurement of a feature formed by the photolithography system using a commanded dose parameter and a commanded focus parameter; employing the trained reference model using the top and bottom critical dimension measurements to determine values for a received dose parameter and a received focus parameter; and comparing the received dose and focus parameters to the commanded dose and focus parameters to characterize the photolithography system. 11. The method of claim 10 , further comprising controlling an operating recipe of a photolithography tool in the photolithography system based on the comparison. | 0.56526 |
10. The method of claim 9 , wherein the similar source string has a corresponding translated target string. | 10. The method of claim 9 , wherein the similar source string has a corresponding translated target string. 11. The method of claim 10 , further comprising outputting the corresponding translated target string as the translation of the source string when the similar source string is found. | 0.919807 |
10. The system of claim 1 , wherein said inference data association module configured to associate the first inference data and the second inference data with the particular item comprises: an inference data inclusion module configured to include into the electronic message the first inference data and the second inference data into the electronic message. | 10. The system of claim 1 , wherein said inference data association module configured to associate the first inference data and the second inference data with the particular item comprises: an inference data inclusion module configured to include into the electronic message the first inference data and the second inference data into the electronic message. 11. The system of claim 10 , wherein said inference data inclusion module configured to include into the electronic message the first inference data and the second inference data into the electronic message comprises: an inference data inclusion module configured to include into the electronic message an indication of an action executed in connection with the particular item and performed, at least in part, by the first authoring user. | 0.799731 |
11. A computer readable memory for causing a computer to identify a real-time television signal of interest to a user, comprising: a computer readable memory; a computer program stored in the computer readable memory; the computer readable memory so configured by the computer program, causes a logical unit to perform a plurality of steps comprising: receiving a search parameter entered by a user into the logical unit; simultaneously buffering a plurality of audio voice streams of a plurality of real-time television signals in a plurality of languages; translating the plurality of audio voice streams into text associated with each of the plurality of real-time television signals in the plurality of languages; buffering the text into a lexical buffer; searching the lexical buffer for the search parameter; displaying a list of the plurality of real-time television signals in the plurality of languages in order of relevance to the search parameter; and the user selecting a first real-time television signal from the list, whereby the first real-time television signal is displayed on a television in real-time; wherein the user specifies the plurality of real-time television signals, an amount of buffering time to be allocated for each of the plurality of real-time television signals, and a plurality of time periods for each of the plurality of real-time television signals to be buffered. | 11. A computer readable memory for causing a computer to identify a real-time television signal of interest to a user, comprising: a computer readable memory; a computer program stored in the computer readable memory; the computer readable memory so configured by the computer program, causes a logical unit to perform a plurality of steps comprising: receiving a search parameter entered by a user into the logical unit; simultaneously buffering a plurality of audio voice streams of a plurality of real-time television signals in a plurality of languages; translating the plurality of audio voice streams into text associated with each of the plurality of real-time television signals in the plurality of languages; buffering the text into a lexical buffer; searching the lexical buffer for the search parameter; displaying a list of the plurality of real-time television signals in the plurality of languages in order of relevance to the search parameter; and the user selecting a first real-time television signal from the list, whereby the first real-time television signal is displayed on a television in real-time; wherein the user specifies the plurality of real-time television signals, an amount of buffering time to be allocated for each of the plurality of real-time television signals, and a plurality of time periods for each of the plurality of real-time television signals to be buffered. 12. The computer readable memory of claim 11 wherein the search parameter is a keyword. | 0.524691 |
5. A computer-implemented method, comprising: displaying, using a device, a first page of content associated with a first layout, the first page including a first amount of content; selecting first content included in the first page; associating the first content with a first bookmark; storing the first bookmark and a first word location of the first content associated with the bookmark; determining to switch from the first layout to a second layout; identifying a section break indicating a beginning of a current section, the current section including the first page; determining the second layout of the current section; and displaying a second page of content in a manner to emphasize the first content relative to other content displayed with the first content, for a predetermined period of time, the second page of content associated with the second layout and including a second amount of content that is different from the first amount of content. | 5. A computer-implemented method, comprising: displaying, using a device, a first page of content associated with a first layout, the first page including a first amount of content; selecting first content included in the first page; associating the first content with a first bookmark; storing the first bookmark and a first word location of the first content associated with the bookmark; determining to switch from the first layout to a second layout; identifying a section break indicating a beginning of a current section, the current section including the first page; determining the second layout of the current section; and displaying a second page of content in a manner to emphasize the first content relative to other content displayed with the first content, for a predetermined period of time, the second page of content associated with the second layout and including a second amount of content that is different from the first amount of content. 9. The computer-implemented method of claim 5 , further comprising: receiving a sleep command at a first time, the sleep command causing the device to create the first bookmark and deactivate the display; receiving a wake command at a second time, the wake command causing the device to activate the display, the second time being after the first time; identifying the first bookmark; determining the first content associated with the first bookmark; and displaying the first page in a manner to emphasize the first content. | 0.66303 |
22. An apparatus as claimed in claim 14, wherein said user interface is included in an automated tutorial application. | 22. An apparatus as claimed in claim 14, wherein said user interface is included in an automated tutorial application. 23. An apparatus as claimed in claim 22, wherein said automated tutorial application tutors in object-oriented software design. | 0.979747 |
1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website comprising the first webpage and the second webpage in respective languages; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; identifying, using a visitation policy which constrains web-crawling to a graph neighborhood of bilingual websites, a pattern of links within between the first webpage and the second webpage, to yield a bipartite graph; ranking a relevance of candidate links which point to parallel text in the first webpage and the second webpage, to yield classifications of links based on the bipartite graph and the relevance; performing, based on the relevance, a bidirectional web crawl of the candidate links, to identify the first webpage and the second webpage as a bilingual website, the bidirectional web crawl utilizing the classifications of links to avoid links having a low respective relevance; analyzing the first webpage and the second webpage to identify information pairs in the first language and the second language; extracting the information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a sentence pair and a paragraph pair; and updating a statistical model with domain representative data using the information pairs. | 1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website comprising the first webpage and the second webpage in respective languages; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; identifying, using a visitation policy which constrains web-crawling to a graph neighborhood of bilingual websites, a pattern of links within between the first webpage and the second webpage, to yield a bipartite graph; ranking a relevance of candidate links which point to parallel text in the first webpage and the second webpage, to yield classifications of links based on the bipartite graph and the relevance; performing, based on the relevance, a bidirectional web crawl of the candidate links, to identify the first webpage and the second webpage as a bilingual website, the bidirectional web crawl utilizing the classifications of links to avoid links having a low respective relevance; analyzing the first webpage and the second webpage to identify information pairs in the first language and the second language; extracting the information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a sentence pair and a paragraph pair; and updating a statistical model with domain representative data using the information pairs. 4. The method of claim 1 , wherein identification of the bilingual website comprises identifying the pair of parallel pages. | 0.571462 |
13. The method of claim 1 , wherein determining the set of rules comprises: determining a second order of sets of characters based on a predetermined set of rules; identifying differences between the second order and the target order; and determining the set of rules based on the identified differences. | 13. The method of claim 1 , wherein determining the set of rules comprises: determining a second order of sets of characters based on a predetermined set of rules; identifying differences between the second order and the target order; and determining the set of rules based on the identified differences. 15. The method of claim 13 , wherein determining the second order of sets of characters based on the predetermined set of rules comprises determining the second order of sets of characters based on rules from an international components for Unicode implementation. | 0.915551 |
20. A method of automatically generating an index page in an image forming apparatus, the method comprising: receiving data associated with a document having one or more pages and determining a text area in the one or more pages with a text/image separation apparatus; determining one or more content indicating texts from among the text area in the one or more pages by selecting characters of the content indicating texts based on comparing a size of characters in the text area with a predetermined size threshold that is set as an average value of preset character properties calculated on a variation of the preset character properties, and grouping selected characters together based on relative proximity to one another with an index determination apparatus; and automatically generating the index page for the document including the one or more content indicating texts with an index page creation apparatus, wherein the determining of the one or more content indicating texts from among the text area in the one or more pages comprises: receiving separated symbols of the text area; and comparing the separated symbols to one or more predetermined size parameters to determine whether the separated symbols are content indicating symbols, and grouping adjacent ones of the content indicating symbols together; and determining the grouped content indicating symbols as the content indicating texts for the index page. | 20. A method of automatically generating an index page in an image forming apparatus, the method comprising: receiving data associated with a document having one or more pages and determining a text area in the one or more pages with a text/image separation apparatus; determining one or more content indicating texts from among the text area in the one or more pages by selecting characters of the content indicating texts based on comparing a size of characters in the text area with a predetermined size threshold that is set as an average value of preset character properties calculated on a variation of the preset character properties, and grouping selected characters together based on relative proximity to one another with an index determination apparatus; and automatically generating the index page for the document including the one or more content indicating texts with an index page creation apparatus, wherein the determining of the one or more content indicating texts from among the text area in the one or more pages comprises: receiving separated symbols of the text area; and comparing the separated symbols to one or more predetermined size parameters to determine whether the separated symbols are content indicating symbols, and grouping adjacent ones of the content indicating symbols together; and determining the grouped content indicating symbols as the content indicating texts for the index page. 26. The method of claim 20 , further comprising: storing each determined content indicating symbol such that the index page generation operation accesses the stored content indicating symbols to automatically generate the index page. | 0.560391 |
13. The system according to claim 12 , wherein the processor is further configured to: display the extracted text content of the first web page on a second web page, the second web page being different from the first web page. | 13. The system according to claim 12 , wherein the processor is further configured to: display the extracted text content of the first web page on a second web page, the second web page being different from the first web page. 14. The system according to claim 13 , wherein the text content is displayed on a touch screen, and the processor is further configured to: detect a touch operation for continuously sliding the text content upward by a user, when a last page of the text content is displayed; and when the user is detected to be off from the touch screen, generate a first animation for displaying, the first animation including an animation bounced back from releasing of a continuous upward pulling of the last page of the text content, display the first animation. | 0.776008 |
1. A method for filtering keywords, the method comprising: receiving, by a processor, a first set of keywords; determining, by the processor, a first set of numbers associated with a first metric relating to the first set of keywords; determining, by the processor, a second set of numbers associated with a second metric relating to the first set of keywords; receiving, by the processor, at least one metric rule relating to the first and the second metric; determining, by the processor, a respective combination number for each keyword in the first set of keywords based on the first set of numbers, the second set of numbers, and the metric rule; and filtering, by the processor, the first set of keywords based on the respective combination numbers to produce a second set of keywords. | 1. A method for filtering keywords, the method comprising: receiving, by a processor, a first set of keywords; determining, by the processor, a first set of numbers associated with a first metric relating to the first set of keywords; determining, by the processor, a second set of numbers associated with a second metric relating to the first set of keywords; receiving, by the processor, at least one metric rule relating to the first and the second metric; determining, by the processor, a respective combination number for each keyword in the first set of keywords based on the first set of numbers, the second set of numbers, and the metric rule; and filtering, by the processor, the first set of keywords based on the respective combination numbers to produce a second set of keywords. 10. The method as recited in claim 1 , further comprising: receiving, by the processor, a filter request, wherein the filter request relates to filtering the first set of keywords based on the numbers associated with the metrics; and wherein the filtering the first set of keywords includes filtering based on the filter request. | 0.535788 |
10. The device of claim 1 , in which a flag is issued when at least one aspect of the annotations does not meet the at least one accuracy criterion, and the grade is assigned based on a number of issued flags. | 10. The device of claim 1 , in which a flag is issued when at least one aspect of the annotations does not meet the at least one accuracy criterion, and the grade is assigned based on a number of issued flags. 14. The device of claim 10 , in which the annotations include events identified as occurring in sequence at different times, and the at least one accuracy criterion specifies that no isolated identified event occurs after an idle interval of a first duration and before another idle interval of a second duration. | 0.87843 |
1. A computer system operable to apply a selected editing style to one or more selected portions of a computer-readable document, the system comprising: a processor configured for: generating a two-dimensional matrix of editing styles available for the document, assigning a first shortcut key to a first procedure for selecting an editing style from the two-dimensional matrix, wherein the first procedure comprises: determining a current style applied to the one or more selected portions; determining a location of the current style within the two-dimensional matrix; and selecting a style located a predetermined number of cells away in a predetermined direction from the current style as the editing style, processing a first user input including data indicative of the editing style selected using the first shortcut key, and based on the first user input, applying the selected editing style to the one or more selected portions to generate one or more modified portions; a memory connected to the processor and configured for storing the two-dimensional matrix; and a display connected to the processor and configured for displaying the one or more modified portions. | 1. A computer system operable to apply a selected editing style to one or more selected portions of a computer-readable document, the system comprising: a processor configured for: generating a two-dimensional matrix of editing styles available for the document, assigning a first shortcut key to a first procedure for selecting an editing style from the two-dimensional matrix, wherein the first procedure comprises: determining a current style applied to the one or more selected portions; determining a location of the current style within the two-dimensional matrix; and selecting a style located a predetermined number of cells away in a predetermined direction from the current style as the editing style, processing a first user input including data indicative of the editing style selected using the first shortcut key, and based on the first user input, applying the selected editing style to the one or more selected portions to generate one or more modified portions; a memory connected to the processor and configured for storing the two-dimensional matrix; and a display connected to the processor and configured for displaying the one or more modified portions. 7. The system of claim 1 , wherein the first user input is provided via an interface device connected to the processor. | 0.608944 |
8. The method of claim 6 further comprising deriving optical character data from the received electronic document data whereas the document output data is comprised of the optical character data. | 8. The method of claim 6 further comprising deriving optical character data from the received electronic document data whereas the document output data is comprised of the optical character data. 9. The method of claim 8 further comprising communicating the document output data to the at least one cloud-based document processing service further including a document repository. | 0.941998 |
18. The method of claim 17 , further comprising exposing a previewer interface at the previewer, the previewer interface comprising: a load method for receiving an instruction to load the attached document to be visually previewed, a show method for displaying an instruction to show the visual preview of the attached document, and a window changed method for receiving an indication that the window in which the visual preview of the attached document is displayed has changed. | 18. The method of claim 17 , further comprising exposing a previewer interface at the previewer, the previewer interface comprising: a load method for receiving an instruction to load the attached document to be visually previewed, a show method for displaying an instruction to show the visual preview of the attached document, and a window changed method for receiving an indication that the window in which the visual preview of the attached document is displayed has changed. 21. The method of claim 18 , wherein the window changed method on the previewer interface is called by the preview handler in response to receiving a call to the window changed method on the preview handler interface. | 0.936937 |
9. A method comprising: receiving, by a processor in a computer system, results that are relevant to a search query, the results including a first plurality of search results and a second plurality of search results, the first plurality of search results being associated with a first document category, the second plurality of search results being associated with a second document category that differs from the first document category, the first document category being more relevant to the search query than the second document category; providing, by a processor in the computer system and for presentation on a display, information associated with the results, the providing of the information including: providing, for presentation in a first display area of the display, information associated with the first plurality of search results, and providing, for presentation in a second display area of the display, information associated with the second plurality of search results, the first display area being more prominently presented on the display than the second display area, where the first display area presents a snippet associated with, respectively, each displayed one of the first plurality of search results, and where the second display area does not include a snippet associated with any of the second plurality of search results. | 9. A method comprising: receiving, by a processor in a computer system, results that are relevant to a search query, the results including a first plurality of search results and a second plurality of search results, the first plurality of search results being associated with a first document category, the second plurality of search results being associated with a second document category that differs from the first document category, the first document category being more relevant to the search query than the second document category; providing, by a processor in the computer system and for presentation on a display, information associated with the results, the providing of the information including: providing, for presentation in a first display area of the display, information associated with the first plurality of search results, and providing, for presentation in a second display area of the display, information associated with the second plurality of search results, the first display area being more prominently presented on the display than the second display area, where the first display area presents a snippet associated with, respectively, each displayed one of the first plurality of search results, and where the second display area does not include a snippet associated with any of the second plurality of search results. 12. The method of claim 9 , where first display area is larger than the second display area. | 0.620864 |
1. A method for searching navigation system data including phonetic data and text data, the method comprising: storing the phonetic data and the text data in a storage device accessible from within a mobile platform, the phonetic data including a set of point-of-interest names in phonetic form, and the text data including at least a portion of the same set of point-of-interest names in text form; receiving a spoken utterance from a user; querying the phonetic data of the navigation system data with the spoken utterance to find a corresponding match; if a corresponding word-for-word match is not found via the querying of the phonetic data, processing the spoken utterance to produce a dictation text substantially corresponding to the spoken utterance, wherein the dictation text is tuned for speech that is typical of navigation destination entry types; and querying the text data of the navigation system data with the dictation text using an approximate string matching criteria and producing a results list associated therewith. | 1. A method for searching navigation system data including phonetic data and text data, the method comprising: storing the phonetic data and the text data in a storage device accessible from within a mobile platform, the phonetic data including a set of point-of-interest names in phonetic form, and the text data including at least a portion of the same set of point-of-interest names in text form; receiving a spoken utterance from a user; querying the phonetic data of the navigation system data with the spoken utterance to find a corresponding match; if a corresponding word-for-word match is not found via the querying of the phonetic data, processing the spoken utterance to produce a dictation text substantially corresponding to the spoken utterance, wherein the dictation text is tuned for speech that is typical of navigation destination entry types; and querying the text data of the navigation system data with the dictation text using an approximate string matching criteria and producing a results list associated therewith. 2. The method of claim 1 , wherein the approximate string matching criteria includes a partial text search. | 0.573029 |
1. A method for unifying a fragmented document comprising: identifying structural information elements of a root document, wherein the structural information elements comprise at least one reference to a discrete document other than the root document; presenting to a user, the identified structural information elements within a rapid selection interface for selective acquisition of content from the discrete document; receiving at the rapid selection interface, a user initiated unification command including a user selection of one or more of the presented structural information elements; responsive to said unification command, acquiring content represented by the at least one reference from the discrete document without presenting the discrete document within a user interface window; and adding the acquired content to the root document. | 1. A method for unifying a fragmented document comprising: identifying structural information elements of a root document, wherein the structural information elements comprise at least one reference to a discrete document other than the root document; presenting to a user, the identified structural information elements within a rapid selection interface for selective acquisition of content from the discrete document; receiving at the rapid selection interface, a user initiated unification command including a user selection of one or more of the presented structural information elements; responsive to said unification command, acquiring content represented by the at least one reference from the discrete document without presenting the discrete document within a user interface window; and adding the acquired content to the root document. 4. The method of claim 1 , wherein the at least one reference comprises a plurality of references comprising a first reference and a second reference, further comprising: responsive to said unification command, acquiring content represented by the first reference from at least one of the discrete documents other than the root document without presenting the discrete document within a user interface window; responsive to said unification command, acquiring content represented by the second reference from at least one of the discrete documents other than the root document without presenting the discrete document within a user interface window; adding the acquired content associated with the first reference to the root document by replacing the first reference with the acquired content at a location in the root document where the first reference was previously positioned; and adding the acquired content associated with the second reference by placing the acquired content in an appendix section of the root document. | 0.5 |
1. A method for communicating in an online social network with a processing device that enables actions, comprising: employing the processing device to determine information about a subscriber registered with an online portal, wherein the information includes a portal assessment made by at least one of a plurality of other subscribers of the online portal about the subscriber, and the portal assessment information is related to at least one behavior of the subscriber and at least a portion of the other subscribers of the online portal that make the portal assessment are separate from a plurality of members of the online social network, and wherein the portal assessment information is related to an online action by the subscriber that is separate from and not performed by the subscriber while using the online social network, which is configured to determine multiple degree indirect relationships between members of the online social network based at least in part on first degree direct contact between members of the online social network; and if the subscriber is also registered as a member of the online social network, importing at least a portion of the information from the online portal to a social network profile maintained by at least one social network server on which the online social network is implemented; and sharing at least the portion of the information with at least one other member of the online social network, wherein the at least one other member is invited to establish direct communication with the subscriber based at least in part on the shared information, which is determined at least in part on at least a second degree indirect relationship between the subscriber and the at least one other member, wherein the at least second degree indirect relationship includes: a first direct relationship between the subscriber and an intermediary member of the online social network, wherein the first direct relationship is established by at least one direct communication between the subscriber and the intermediary member; and a second direct relationship between the intermediary member and the at least one other member, wherein the second direct relationship is established by at least one direct communication between the intermediary member and the at least one other member, and wherein a direct relationship does not exist between the subscriber and the at least one other member prior to establishing direct communication between the subscriber and the at least one other member. | 1. A method for communicating in an online social network with a processing device that enables actions, comprising: employing the processing device to determine information about a subscriber registered with an online portal, wherein the information includes a portal assessment made by at least one of a plurality of other subscribers of the online portal about the subscriber, and the portal assessment information is related to at least one behavior of the subscriber and at least a portion of the other subscribers of the online portal that make the portal assessment are separate from a plurality of members of the online social network, and wherein the portal assessment information is related to an online action by the subscriber that is separate from and not performed by the subscriber while using the online social network, which is configured to determine multiple degree indirect relationships between members of the online social network based at least in part on first degree direct contact between members of the online social network; and if the subscriber is also registered as a member of the online social network, importing at least a portion of the information from the online portal to a social network profile maintained by at least one social network server on which the online social network is implemented; and sharing at least the portion of the information with at least one other member of the online social network, wherein the at least one other member is invited to establish direct communication with the subscriber based at least in part on the shared information, which is determined at least in part on at least a second degree indirect relationship between the subscriber and the at least one other member, wherein the at least second degree indirect relationship includes: a first direct relationship between the subscriber and an intermediary member of the online social network, wherein the first direct relationship is established by at least one direct communication between the subscriber and the intermediary member; and a second direct relationship between the intermediary member and the at least one other member, wherein the second direct relationship is established by at least one direct communication between the intermediary member and the at least one other member, and wherein a direct relationship does not exist between the subscriber and the at least one other member prior to establishing direct communication between the subscriber and the at least one other member. 8. The method of claim 1 , further comprising: comparing the information to membership criteria of at least one social network activity, wherein the at least one social network activity comprises an online activity that is available to any member of the online social network; and determining the at least one social network activity for which the information indicates a level of possible interest in the online activity, wherein the level of possible interest corresponds to a degree of matching between the information and the membership criteria of the at least one social network activity. | 0.5 |
20. The non-transitory computer-readable medium of claim 14 , wherein an object-oriented data model construct, from the plurality of object-oriented data model constructs, is a particular object-oriented class definition; wherein the one or more YANG data model statements includes a particular YANG grouping statement; and wherein translating the first data to the second data comprises translating the particular object-oriented class definition to the particular YANG grouping statement. | 20. The non-transitory computer-readable medium of claim 14 , wherein an object-oriented data model construct, from the plurality of object-oriented data model constructs, is a particular object-oriented class definition; wherein the one or more YANG data model statements includes a particular YANG grouping statement; and wherein translating the first data to the second data comprises translating the particular object-oriented class definition to the particular YANG grouping statement. 21. The non-transitory computer-readable medium of claim 20 , wherein the particular object-oriented class definition comprises a name for the particular object-oriented class, and wherein translating the particular object-oriented class definition to the particular YANG grouping statement comprises deriving the argument to the particular YANG grouping statement from the name for the particular object-oriented class. | 0.861818 |
10. An apparatus comprising at least a processor and a memory, wherein the processor and memory are configured to perform the following operations: receiving a date request that includes contextual date information related to a specific date or a specific range of dates, wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said apparatus to locate said particular date or range of dates; automatically locating a specific date or a specific range of dates based on the contextual date information of the date request; and automatically initiate the displaying of the located specific date or the located specific range of dates. | 10. An apparatus comprising at least a processor and a memory, wherein the processor and memory are configured to perform the following operations: receiving a date request that includes contextual date information related to a specific date or a specific range of dates, wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said apparatus to locate said particular date or range of dates; automatically locating a specific date or a specific range of dates based on the contextual date information of the date request; and automatically initiate the displaying of the located specific date or the located specific range of dates. 17. An apparatus as recited in claim 10 , wherein the processor and memory are further configured to perform the following operations: receiving a modification to the located specific date or the located specific date range; and learning the modification so that receiving a next contextual date information, which is similar or the same as the currently received contextual date information, will result in locating and displaying the modification to the specific date or the specific date range. | 0.523292 |
8. A method, comprising: translating, by using a processor, a program code to a logical representation appropriate for input to a theorem prover, wherein the translation encodes type-safety assertions into the program code by asserting at least one type-safety invariant at one or more program points of the logical representation, the at least one type-safety invariant stating that a value at a memory location corresponds to a type declared for the memory location; annotating a portion of the program code containing user-defined types input into the logical representation, wherein the translating the program code comprises translating the program code other than the user-defined types into the logical representation; generating a verification condition for the type-safety assertions; if the generated verification condition includes one or more universal quantifiers, removing the one or more universal quantifiers from the generated verification condition; and executing a decision procedure to prove or disprove the generated verification condition. | 8. A method, comprising: translating, by using a processor, a program code to a logical representation appropriate for input to a theorem prover, wherein the translation encodes type-safety assertions into the program code by asserting at least one type-safety invariant at one or more program points of the logical representation, the at least one type-safety invariant stating that a value at a memory location corresponds to a type declared for the memory location; annotating a portion of the program code containing user-defined types input into the logical representation, wherein the translating the program code comprises translating the program code other than the user-defined types into the logical representation; generating a verification condition for the type-safety assertions; if the generated verification condition includes one or more universal quantifiers, removing the one or more universal quantifiers from the generated verification condition; and executing a decision procedure to prove or disprove the generated verification condition. 10. The method of claim 8 , wherein the logical representation of the program code models values in a heap and models types of heap locations. | 0.659969 |
21. The method of claim 20 , wherein the first query comprises a first language and wherein the each of the other queries comprises a language that is different than the first language. | 21. The method of claim 20 , wherein the first query comprises a first language and wherein the each of the other queries comprises a language that is different than the first language. 22. The method of claim 21 , further comprising: searching documents using the identified ones of the other queries to retrieve one or more documents in the language that is different than the first language. | 0.905831 |
18. The method of claim 13 , further comprising the processor executing an accommodation module of the plurality of modules comprising: the processor receiving text divided into words from one or more of, another of the plurality of modules, and input data, wherein input data comprises data from a system external to the natural language processing system, and; the processor grouping words into phrases; the processor determining connections between the phrases; and the processor classifying the phrases. | 18. The method of claim 13 , further comprising the processor executing an accommodation module of the plurality of modules comprising: the processor receiving text divided into words from one or more of, another of the plurality of modules, and input data, wherein input data comprises data from a system external to the natural language processing system, and; the processor grouping words into phrases; the processor determining connections between the phrases; and the processor classifying the phrases. 19. The method of claim 18 , wherein determining connections between the phrases comprises considering the phrases in an order in which they appear in the input data; and the decision regarding determining connection is influenced by decision regarding the connections of previous phrases. | 0.906231 |
26. A method comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document in the plurality of stored documents, with the portion which is the closest match to the portion of the original document based on the comparing; identifying a designated output device with one or more characteristics; obtaining one or more mutators from a list of stored mutators which were applied to mutate the portion of the determined particular stored document; and applying the obtained one or more mutators to the portion of the original document based on one or more characteristics of the designated output device and the applying further based on a stored priority order. | 26. A method comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document in the plurality of stored documents, with the portion which is the closest match to the portion of the original document based on the comparing; identifying a designated output device with one or more characteristics; obtaining one or more mutators from a list of stored mutators which were applied to mutate the portion of the determined particular stored document; and applying the obtained one or more mutators to the portion of the original document based on one or more characteristics of the designated output device and the applying further based on a stored priority order. 29. The method as set forth in claim 26 wherein the determining further comprises: generating a score for each of the comparisons of the portion of the original document against each of the portions of each of the plurality of stored documents; and identifying the particular stored document with the portion with the score which is closest to the portion of the original document based on the generated scores. | 0.845113 |
1. An apparatus, comprising: a logic device; and an information visualization application operative on the logic device, the information visualization application comprising a multivariable presentation component arranged to generate a multivariable decomposition visualization to present hierarchical information for a response variable and multiple reporting variables defined for the response variable in a single user interface view, the multivariable decomposition visualization comprising multiple graphical user interface (GUI) elements each representing a reporting variable value of multiple reporting variables for multiple hierarchical levels, with a GUI element of a reporting variable value of a reporting variable of a hierarchical level selectable for decomposition into multiple GUI elements representing reporting variable values of a different reporting variable for a different hierarchical level, the selectable GUI element of the hierarchical level positioned adjacent to the decomposed GUI elements of the different hierarchical level when the selectable GUI element is selected for decomposition. | 1. An apparatus, comprising: a logic device; and an information visualization application operative on the logic device, the information visualization application comprising a multivariable presentation component arranged to generate a multivariable decomposition visualization to present hierarchical information for a response variable and multiple reporting variables defined for the response variable in a single user interface view, the multivariable decomposition visualization comprising multiple graphical user interface (GUI) elements each representing a reporting variable value of multiple reporting variables for multiple hierarchical levels, with a GUI element of a reporting variable value of a reporting variable of a hierarchical level selectable for decomposition into multiple GUI elements representing reporting variable values of a different reporting variable for a different hierarchical level, the selectable GUI element of the hierarchical level positioned adjacent to the decomposed GUI elements of the different hierarchical level when the selectable GUI element is selected for decomposition. 9. The apparatus of claim 1 , the multivariable presentation component operative to generate the multivariable decomposition visualization with multiple columns, each column to present one or more GUI elements for each reporting variable value of a reporting variable of a given hierarchical level, with adjacent GUI elements for adjacent columns forming an information pipe representing a hierarchical path across multiple hierarchical levels. | 0.654141 |
6. The method of claim 5 , further comprising activating an EOF sideband signal when sending out a last portion of the contiguous group. | 6. The method of claim 5 , further comprising activating an EOF sideband signal when sending out a last portion of the contiguous group. 7. The method of claim 6 , wherein the packing comprises aligning the valid data of the contiguous group with one of a left alignment or a right alignment relative to at least one of the SOF sideband signal and the EOF sideband signal. | 0.917566 |
17. A computer system comprising: at least one processor; and memory comprising instructions stored thereon that when executed by at least one processor cause at least one processor to perform acts comprising: presenting a document having multiple data entry areas; receiving user input directed at and selecting a designated data entry area of the multiple data entry areas; generating a list of one or more suggestions for the designated data entry area, generating the list of one or more suggestions comprising identifying a suggestion of one or more suggestions in the list, the identified suggestion not having been included in the data entry areas of the document prior to the receipt of the user input directed at the designated data entry area, and the identifying of the suggestion comprising the following: analyzing a first set of data previously entered into one or more data entry areas of the document other than the designated data entry area; and analyzing a second set of data comprising data outside of data entry areas of the document; presenting the list of one or more suggestions automatically in response to the receiving of the user input directed at and selecting the designated data entry area, the presentation of the list being performed at a time when manual entry of data has not been received in the designated data entry area; receiving user input selecting one of the one or more suggestions; and entering data represented by the selected suggestion in the designated data entry area in response to receiving the user input selecting the selected suggestion. | 17. A computer system comprising: at least one processor; and memory comprising instructions stored thereon that when executed by at least one processor cause at least one processor to perform acts comprising: presenting a document having multiple data entry areas; receiving user input directed at and selecting a designated data entry area of the multiple data entry areas; generating a list of one or more suggestions for the designated data entry area, generating the list of one or more suggestions comprising identifying a suggestion of one or more suggestions in the list, the identified suggestion not having been included in the data entry areas of the document prior to the receipt of the user input directed at the designated data entry area, and the identifying of the suggestion comprising the following: analyzing a first set of data previously entered into one or more data entry areas of the document other than the designated data entry area; and analyzing a second set of data comprising data outside of data entry areas of the document; presenting the list of one or more suggestions automatically in response to the receiving of the user input directed at and selecting the designated data entry area, the presentation of the list being performed at a time when manual entry of data has not been received in the designated data entry area; receiving user input selecting one of the one or more suggestions; and entering data represented by the selected suggestion in the designated data entry area in response to receiving the user input selecting the selected suggestion. 18. The computer system of claim 17 , wherein analyzing data previously entered into one or more data entry areas of the document comprises analyzing a structure selected from a group consisting of a structure of the document, a layout of a display of the document, and combinations thereof. | 0.507131 |
11. A system, comprising: a memory; and one or more processing units, communicatively coupled to the memory, wherein the memory stores instructions to configure the one or more processing units to: obtain a first plurality of unencrypted documents, wherein each document in the first plurality of unencrypted documents comprises: a Small Index of tags based, at least in part, on a content of the respective document; and a Large Index of tags based, at least in part, on a predictive analysis of the tags in the Small Index of the respective document; obtain a second encrypted document, wherein the second encrypted document comprises a Small Index of tags based, at least in part, on a content of the second encrypted document; create one or more associations between the second encrypted document and one or more documents of the first plurality of unencrypted documents based, at least in part, on the Small Index of tags of the second encrypted document and the respective Small Index of tags of the one or more of the first plurality of unencrypted documents; generate a Large Index of tags for the second encrypted document based, at least in part, on a predictive analysis of the tags in the Small Index of tags of the second encrypted document; augment the Large Index of tags for the second encrypted document based, at least in part, on the respective Large Index of tags for the one or more associated documents of the first plurality of unencrypted documents; receive a query from a first user, wherein the query matches at least one tag in the augmented Large Index of tags for the second encrypted document; and generate a result set of documents in response to the received query, wherein the result set comprises the second encrypted document. | 11. A system, comprising: a memory; and one or more processing units, communicatively coupled to the memory, wherein the memory stores instructions to configure the one or more processing units to: obtain a first plurality of unencrypted documents, wherein each document in the first plurality of unencrypted documents comprises: a Small Index of tags based, at least in part, on a content of the respective document; and a Large Index of tags based, at least in part, on a predictive analysis of the tags in the Small Index of the respective document; obtain a second encrypted document, wherein the second encrypted document comprises a Small Index of tags based, at least in part, on a content of the second encrypted document; create one or more associations between the second encrypted document and one or more documents of the first plurality of unencrypted documents based, at least in part, on the Small Index of tags of the second encrypted document and the respective Small Index of tags of the one or more of the first plurality of unencrypted documents; generate a Large Index of tags for the second encrypted document based, at least in part, on a predictive analysis of the tags in the Small Index of tags of the second encrypted document; augment the Large Index of tags for the second encrypted document based, at least in part, on the respective Large Index of tags for the one or more associated documents of the first plurality of unencrypted documents; receive a query from a first user, wherein the query matches at least one tag in the augmented Large Index of tags for the second encrypted document; and generate a result set of documents in response to the received query, wherein the result set comprises the second encrypted document. 14. The system of claim 11 , wherein the instructions to augment the Large Index of tags for the second encrypted document further comprise instructions to: link the Large Index of tags of at least one of the one or more associated documents with the Large Index of tags of the second unencrypted document. | 0.602703 |
1. A method of performing instant speech translation, the method comprising: establishing a local communications network including a link between at least a first and a second headset computer; capturing speech in a first language at the first headset computer; transmitting the captured speech in the first language from the first headset computer directly to a network-based speech recognition service to recognize and transcribe the captured speech as text in the first language; receiving the text in the first language at the first headset computer from the network-based speech recognition service; broadcasting the text in the first language from the first headset computer over the local network to at least the second headset computer; receiving the broadcast text in the first language at the second headset computer; transmitting the received broadcast text in the first language from the second headset computer directly to a network-based text translation service to translate the text in the first language to a text in a second language; receiving the text in the second language at the second headset computer from the network-based text translation service; synthesizing speech from the text in the second language to speech in the second language at the second headset computer; presenting the synthesized speech in the second language through an audio speaker of the second headset computer; and providing noise cancellation of the captured speech in the first language at the second headset computer. | 1. A method of performing instant speech translation, the method comprising: establishing a local communications network including a link between at least a first and a second headset computer; capturing speech in a first language at the first headset computer; transmitting the captured speech in the first language from the first headset computer directly to a network-based speech recognition service to recognize and transcribe the captured speech as text in the first language; receiving the text in the first language at the first headset computer from the network-based speech recognition service; broadcasting the text in the first language from the first headset computer over the local network to at least the second headset computer; receiving the broadcast text in the first language at the second headset computer; transmitting the received broadcast text in the first language from the second headset computer directly to a network-based text translation service to translate the text in the first language to a text in a second language; receiving the text in the second language at the second headset computer from the network-based text translation service; synthesizing speech from the text in the second language to speech in the second language at the second headset computer; presenting the synthesized speech in the second language through an audio speaker of the second headset computer; and providing noise cancellation of the captured speech in the first language at the second headset computer. 8. The method of claim 1 , wherein the first and second headset computers further include at least a short-range radio and a long-range radio, the first and second headset computers using the short-range radio for the local communications network and using the long-range radio to access the network-based speech recognition service and the network-based text translation service. | 0.5 |
11. A system for analyzing search query relationships, the system comprising: a server configured to receive, over an electronic network, log data relating to a plurality of search queries received from users; and a processor configured to: generate a click graph representing relationships among a plurality of queries and a plurality of visited query results associated with each of the plurality of queries, wherein the click graph depicts at least one first layer relationship between a first query and a second query in the plurality of queries, the first layer relationship indicating that at least one of the plurality of visited query results is associated with both the first query and the second query, and further wherein the click graph depicts at least one second layer relationship between the first query and second query in the plurality of queries, the second layer relationship indicating that each of the first and second queries has a first layer relationship to a third query; compute a numeric value representing a degree of the at least one second layer relationship; identify temporal similarities between at least one pair of the plurality of queries, the temporal similarities determined based on a temporal distance between peaks in frequency of occurrence for both queries in the at least one pair of the plurality of queries; evaluate the at least one pair of queries based on the generated click graph and the identified temporal similarities to determine whether the at least one pair of queries are related; and designate the queries in the at least one pair of queries as related based on the computed value being greater than zero and the temporal distance being below a threshold value. | 11. A system for analyzing search query relationships, the system comprising: a server configured to receive, over an electronic network, log data relating to a plurality of search queries received from users; and a processor configured to: generate a click graph representing relationships among a plurality of queries and a plurality of visited query results associated with each of the plurality of queries, wherein the click graph depicts at least one first layer relationship between a first query and a second query in the plurality of queries, the first layer relationship indicating that at least one of the plurality of visited query results is associated with both the first query and the second query, and further wherein the click graph depicts at least one second layer relationship between the first query and second query in the plurality of queries, the second layer relationship indicating that each of the first and second queries has a first layer relationship to a third query; compute a numeric value representing a degree of the at least one second layer relationship; identify temporal similarities between at least one pair of the plurality of queries, the temporal similarities determined based on a temporal distance between peaks in frequency of occurrence for both queries in the at least one pair of the plurality of queries; evaluate the at least one pair of queries based on the generated click graph and the identified temporal similarities to determine whether the at least one pair of queries are related; and designate the queries in the at least one pair of queries as related based on the computed value being greater than zero and the temporal distance being below a threshold value. 18. The system of claim 11 , wherein the processor is further configured to, based on the evaluation, designate the queries in the at least one pair of queries as related. | 0.583977 |
1. A method of creating a structural document, the method comprising: receiving, by a host computing device in a cloud system, content information pertaining to one or more contents that are to be encased by the structural document; determining, by the host computing device, a shape of a structural document based on the received content information; determining, by the host computing device, a plurality of dimensions of the structural document based on the received content information; receiving, by the host computing device, information associated with one or more content items, wherein each content item represents a visual characteristic associated with the structural document; receiving, via a communications network from a user computing device that is remote from the host computing device, contact information to include on the structural document, wherein the contact information corresponds to a product information provider associated with the structural document; receiving, by the host computing device, an indication of a location on the structural document where the contact information is to be displayed; causing a graphical representation of the structural document to be displayed at a user computing device, wherein a shape of the three-dimensional graphical representation corresponds to the determined shape, wherein a plurality of dimensions of the graphical representation correspond to the determined plurality of dimensions, wherein the contact information is displayed on the graphical representation at the location, wherein the graphical representation comprises at least a portion of the received content items; receiving, from the user computing device by the host computing device, an indication that a user is finished creating the structural document; generating a print document comprising an encoded data mark; and providing the print document to one or more print-related devices. | 1. A method of creating a structural document, the method comprising: receiving, by a host computing device in a cloud system, content information pertaining to one or more contents that are to be encased by the structural document; determining, by the host computing device, a shape of a structural document based on the received content information; determining, by the host computing device, a plurality of dimensions of the structural document based on the received content information; receiving, by the host computing device, information associated with one or more content items, wherein each content item represents a visual characteristic associated with the structural document; receiving, via a communications network from a user computing device that is remote from the host computing device, contact information to include on the structural document, wherein the contact information corresponds to a product information provider associated with the structural document; receiving, by the host computing device, an indication of a location on the structural document where the contact information is to be displayed; causing a graphical representation of the structural document to be displayed at a user computing device, wherein a shape of the three-dimensional graphical representation corresponds to the determined shape, wherein a plurality of dimensions of the graphical representation correspond to the determined plurality of dimensions, wherein the contact information is displayed on the graphical representation at the location, wherein the graphical representation comprises at least a portion of the received content items; receiving, from the user computing device by the host computing device, an indication that a user is finished creating the structural document; generating a print document comprising an encoded data mark; and providing the print document to one or more print-related devices. 9. The method of claim 1 , wherein receiving content information pertaining to one or more contents of a structural document comprises receiving one or more of the following: one or more dimensions associated with the one or more contents, a shape associated with the one or more contents, a weight associated with the one or more contents, and an image of the one or more contents. | 0.508056 |
4. The thermostat of claim 1 , wherein the housing further houses one or more touch buttons for manually interacting with the thermostat, wherein one or more natural language audio and/or one or more video clips can be activated in response to touching one of the one or more touch buttons. | 4. The thermostat of claim 1 , wherein the housing further houses one or more touch buttons for manually interacting with the thermostat, wherein one or more natural language audio and/or one or more video clips can be activated in response to touching one of the one or more touch buttons. 6. The thermostat of claim 4 , wherein the one or more touch buttons comprise one or more push buttons separate from the display. | 0.925029 |
9. A system comprising at least one processor programmed by executable instructions to: use at least one statistical model extracted from annotated training data to segment a text into text sections and to assign, for at least a first text section, a topic indicative of content of the first text section, the topic being associated with a plurality of section headings; generate a structured text by selecting a section heading from the plurality of section headings associated with the topic assigned to the first text section and inserting the section heading into the text in order to assign the section heading to the first text section; causing the structured text to be displayed to a user; and process at least one modification of the structured text, the at least one modification being received from the user. | 9. A system comprising at least one processor programmed by executable instructions to: use at least one statistical model extracted from annotated training data to segment a text into text sections and to assign, for at least a first text section, a topic indicative of content of the first text section, the topic being associated with a plurality of section headings; generate a structured text by selecting a section heading from the plurality of section headings associated with the topic assigned to the first text section and inserting the section heading into the text in order to assign the section heading to the first text section; causing the structured text to be displayed to a user; and process at least one modification of the structured text, the at least one modification being received from the user. 12. The system according to claim 9 , wherein the text sections are first text sections, the section heading is a first section heading, and the structured text is a first structured text, and wherein the at least one processor is programmed to process the at least one modification by successively triggering acts of: segmenting the text into second text sections by making use of the at least one statistical model extracted from the training data and by making reference to the at least one modification; generating a second structured text by inserting a second section heading into the text by making reference to the at least one modification; and providing the second structured text to the user for review. | 0.549157 |
7. The method of claim 1 , wherein visually enhancing the body of dynamic language source code comprises displaying visual artifacts. | 7. The method of claim 1 , wherein visually enhancing the body of dynamic language source code comprises displaying visual artifacts. 8. The method of claim 7 , wherein the visual artifacts comprise uniform colorization. | 0.970287 |
4. The method of claim 1 , wherein the comparison results in a variance that identifies how different the first sample is from the second sample. | 4. The method of claim 1 , wherein the comparison results in a variance that identifies how different the first sample is from the second sample. 5. The method of claim 4 , wherein when the variance is below a threshold, then not enrolling the user in the speech verification system. | 0.935909 |
1. A method for identifying constraints on reducing consumable usage comprising: acquiring print job information for a set of print jobs submitted for printing by a set of users, each print job comprising a document to be printed; computing a print job representation for each of the print jobs based on features extracted from the print job information; providing for user-annotation of the submitted print jobs with a task category and a constraint category, each of a plurality of task categories representing a respective task with which the printing of a print job is associated, each of a plurality of selectable constraint categories expressing a different reason for printing the print job, wherein at least one of: a) the providing for user-annotation of the submitted print jobs with a task category comprises providing for the user to select a task category from a predefined set of categories and wherein the user is permitted to propose a new task category for adding to the set of task categories, and b) the providing for user-annotation of the submitted print jobs with a constraint category comprises providing for the user to propose a new constraint category for adding to the plurality of constraint categories; receiving user-annotations for at least some of the submitted print jobs; clustering the print jobs into clusters based on the print job representations and task category annotations; and generating a representation of the set of print jobs which represents reasons for printing of print jobs in at least one of the clusters, based on the users' constraint category annotations, wherein at least one of the computing of the print job representation, providing for user-annotation, receiving user-annotations, clustering the print jobs, and generating of the representation of the set of print jobs is performed with a computer processor. | 1. A method for identifying constraints on reducing consumable usage comprising: acquiring print job information for a set of print jobs submitted for printing by a set of users, each print job comprising a document to be printed; computing a print job representation for each of the print jobs based on features extracted from the print job information; providing for user-annotation of the submitted print jobs with a task category and a constraint category, each of a plurality of task categories representing a respective task with which the printing of a print job is associated, each of a plurality of selectable constraint categories expressing a different reason for printing the print job, wherein at least one of: a) the providing for user-annotation of the submitted print jobs with a task category comprises providing for the user to select a task category from a predefined set of categories and wherein the user is permitted to propose a new task category for adding to the set of task categories, and b) the providing for user-annotation of the submitted print jobs with a constraint category comprises providing for the user to propose a new constraint category for adding to the plurality of constraint categories; receiving user-annotations for at least some of the submitted print jobs; clustering the print jobs into clusters based on the print job representations and task category annotations; and generating a representation of the set of print jobs which represents reasons for printing of print jobs in at least one of the clusters, based on the users' constraint category annotations, wherein at least one of the computing of the print job representation, providing for user-annotation, receiving user-annotations, clustering the print jobs, and generating of the representation of the set of print jobs is performed with a computer processor. 9. The method of claim 1 , wherein the generating of the representation of the set of print jobs comprises generating a graphical representation. | 0.559318 |
8. A non-transitory machine readable medium comprising a plurality of machine-readable instruction which, when executed by one or more processors, are configured to cause the one or more processors to perform a method comprising: receiving an image that includes a plurality of text and at least one graphic; providing the image as a first content screen that includes the plurality of text and the at least one graphic for display on a display of a user device when the user device is in a first orientation that provides a first aspect ratio; determining that the plurality of a text included in the image is associated with a first region display mode using character recognition techniques; detecting reorientation of the user device from the first orientation to a predefined orientation of the user device that is rotated relative to the first orientation and that provides a second aspect ratio that is different than the first aspect ratio and, in response, translating the plurality of text according to a second region display mode to produce a plurality of translated text; and providing the plurality of translated text and the at least one graphic in a second content screen for display on the display of the user device, wherein a structure of the first content screen in the first aspect ratio is maintained in the second content screen in the second aspect ratio that the plurality of translated text and the at least one graphic on the second content screen in the second aspect ratio have substantially the same sizes and relative locations as the plurality of text and the at least one graphic on the first content screen in the first aspect ratio. | 8. A non-transitory machine readable medium comprising a plurality of machine-readable instruction which, when executed by one or more processors, are configured to cause the one or more processors to perform a method comprising: receiving an image that includes a plurality of text and at least one graphic; providing the image as a first content screen that includes the plurality of text and the at least one graphic for display on a display of a user device when the user device is in a first orientation that provides a first aspect ratio; determining that the plurality of a text included in the image is associated with a first region display mode using character recognition techniques; detecting reorientation of the user device from the first orientation to a predefined orientation of the user device that is rotated relative to the first orientation and that provides a second aspect ratio that is different than the first aspect ratio and, in response, translating the plurality of text according to a second region display mode to produce a plurality of translated text; and providing the plurality of translated text and the at least one graphic in a second content screen for display on the display of the user device, wherein a structure of the first content screen in the first aspect ratio is maintained in the second content screen in the second aspect ratio that the plurality of translated text and the at least one graphic on the second content screen in the second aspect ratio have substantially the same sizes and relative locations as the plurality of text and the at least one graphic on the first content screen in the first aspect ratio. 9. The non-transitory machine-readable medium of claim 8 , wherein the first region display mode displays at least some of the plurality of text in a first language, and wherein the second region display mode displays at least some of the plurality of text in a second language to display the plurality of translated text. | 0.541043 |
1. A digital motion picture recorder, comprising: a housing sized to be portable for use by an individual; a motion picture camera mounted within the housing and having an output providing live digital video information; a digital random access computer readable and writeable medium mounted within the housing; a processor, in the portable housing, configured to enable the individual to provide inputs to control capture of live digital video information from the motion picture camera into a clip comprising a data file in a computer readable file format and stored on the digital random access computer readable and writeable medium, wherein the digital motion picture recorder stores a plurality of such clips; wherein the processor is further configured to enable the individual to specify a sequence of segments of the plurality of data files stored on the digital random access computer readable and writeable medium; and wherein the processor is further configured to enable the individual to initiate playback of full motion video using the digital video information from the plurality of data files stored on the digital random access computer readable and writeable medium according to the specified sequence of segments of the plurality of data files; a user interface on the portable housing including: a display for displaying information; a plurality of buttons; wherein each function associated with each of the plurality of buttons is communicated to the individual by information displayed on the display; wherein the user interface has a plurality of modes, including at least a clip mode and a sequencer mode; wherein, in clip mode, the buttons permit the individual to navigate among and to select clips of time-based media stored on the digital random access computer readable and writeable medium; and wherein, in sequencer mode, the buttons permit the individual to specify the sequence of segments. | 1. A digital motion picture recorder, comprising: a housing sized to be portable for use by an individual; a motion picture camera mounted within the housing and having an output providing live digital video information; a digital random access computer readable and writeable medium mounted within the housing; a processor, in the portable housing, configured to enable the individual to provide inputs to control capture of live digital video information from the motion picture camera into a clip comprising a data file in a computer readable file format and stored on the digital random access computer readable and writeable medium, wherein the digital motion picture recorder stores a plurality of such clips; wherein the processor is further configured to enable the individual to specify a sequence of segments of the plurality of data files stored on the digital random access computer readable and writeable medium; and wherein the processor is further configured to enable the individual to initiate playback of full motion video using the digital video information from the plurality of data files stored on the digital random access computer readable and writeable medium according to the specified sequence of segments of the plurality of data files; a user interface on the portable housing including: a display for displaying information; a plurality of buttons; wherein each function associated with each of the plurality of buttons is communicated to the individual by information displayed on the display; wherein the user interface has a plurality of modes, including at least a clip mode and a sequencer mode; wherein, in clip mode, the buttons permit the individual to navigate among and to select clips of time-based media stored on the digital random access computer readable and writeable medium; and wherein, in sequencer mode, the buttons permit the individual to specify the sequence of segments. 5. The digital motion picture recorder of claim 1 , wherein the processor is further configured to maintain one or more bins, wherein each bin has a clip list which indicates the recorded clips stored in that bin. | 0.515491 |
1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. | 1. A method of alerting a user of condescending speech comprising: receiving speech from at least one user; processing the speech to identify one or more phonemes; processing the identified one or more phonemes wherein the processing identifies the duration, the maximum duration, and the location(s) of the one or more phonemes to identify at least one feature of the speech; comparing the at least one feature to previously determined features; and alerting the user that the received speech contains condescending speech if the comparison exceeds a threshold. 12. The method of claim 1 , further comprising the step of processing the speech to identify the energy of the speech, speaking rate, duration of pauses, frequency of pauses, Mel-frequency spectral coefficients, zero-crossing rate, linear prediction coefficients, and/or one or more formants. | 0.523627 |
1. A user-interface system for entering an alphanumeric string, the system comprising: presentation logic for displaying on a presentation device an alphabet arranged into a row of letters, the presentation logic including logic to display a string field for presenting an alphanumeric string of characters selected by a user; indication logic, cooperative with the presentation logic, for presenting visual cues grouping a series of letters of the row into a cluster of letters to aid in the navigation of the row and the selection of a desired cluster; navigation logic, cooperative with the indication logic, for receiving user actions from an input device to move the visual cues along the row of letters to change the letters grouped into the cluster from a first subset of letters to a second subset of letters, the visual cues moving along the row of letters in variable offsets based on a rate of input of the user actions, wherein the visual cues move by a single offset for each user action in response to user actions entered at or slower than a predetermined rate, and wherein the visual cues move by more than a single offset for each user action and the first subset of letters and the second subset of letters are contiguous in response to user actions entered faster than the predetermined rate; and selection logic for receiving user actions from the input device to select the cluster of letters to cause at least one of the letters of the selected cluster to be displayed in the string field. | 1. A user-interface system for entering an alphanumeric string, the system comprising: presentation logic for displaying on a presentation device an alphabet arranged into a row of letters, the presentation logic including logic to display a string field for presenting an alphanumeric string of characters selected by a user; indication logic, cooperative with the presentation logic, for presenting visual cues grouping a series of letters of the row into a cluster of letters to aid in the navigation of the row and the selection of a desired cluster; navigation logic, cooperative with the indication logic, for receiving user actions from an input device to move the visual cues along the row of letters to change the letters grouped into the cluster from a first subset of letters to a second subset of letters, the visual cues moving along the row of letters in variable offsets based on a rate of input of the user actions, wherein the visual cues move by a single offset for each user action in response to user actions entered at or slower than a predetermined rate, and wherein the visual cues move by more than a single offset for each user action and the first subset of letters and the second subset of letters are contiguous in response to user actions entered faster than the predetermined rate; and selection logic for receiving user actions from the input device to select the cluster of letters to cause at least one of the letters of the selected cluster to be displayed in the string field. 6. The system of claim 1 , wherein the presentation device is separate from the input device so that the user can enter the alphanumeric string while focusing on the presentation device. | 0.536713 |
21. An apparatus for providing a contextual description of an object, the apparatus comprising system components including: a data store configured to store information relating to places, events and people associated with one or more users, an object description module coupled to the data store, the object description module comprising: an object determination unit configured to receive a first object having a first object type representing a person, the first object associated with a first user and including a first attribute associated with the respective person, and to identify a second object having a second attribute related to the first attribute, the second object having a second object type representing an event; a phrase generator configured to retrieve, from the data store, a first pre-defined phrase template corresponding to the first object type and a second pre-defined phrase template corresponding to the second object type, determining automatically a temporal phrase template including a temporal expression based on a time related to the event, the temporal phrase template selected from a plurality of phrase templates based on an interval of the time related to the event such that different phrase templates are associated with different intervals, and dynamically combine the first pre-defined phrase template with the second pre-defined phrase template and with the temporal phrase template to form a linguistic prompt related to the person representing the first object, wherein the linguistic prompt comprises the first pre-defined phrase template, the second pre-defined phrase template, and the temporal phrase template; and a presentation unit configured to present the linguistic prompt; wherein at least one of the system components includes at least one electronic hardware component. | 21. An apparatus for providing a contextual description of an object, the apparatus comprising system components including: a data store configured to store information relating to places, events and people associated with one or more users, an object description module coupled to the data store, the object description module comprising: an object determination unit configured to receive a first object having a first object type representing a person, the first object associated with a first user and including a first attribute associated with the respective person, and to identify a second object having a second attribute related to the first attribute, the second object having a second object type representing an event; a phrase generator configured to retrieve, from the data store, a first pre-defined phrase template corresponding to the first object type and a second pre-defined phrase template corresponding to the second object type, determining automatically a temporal phrase template including a temporal expression based on a time related to the event, the temporal phrase template selected from a plurality of phrase templates based on an interval of the time related to the event such that different phrase templates are associated with different intervals, and dynamically combine the first pre-defined phrase template with the second pre-defined phrase template and with the temporal phrase template to form a linguistic prompt related to the person representing the first object, wherein the linguistic prompt comprises the first pre-defined phrase template, the second pre-defined phrase template, and the temporal phrase template; and a presentation unit configured to present the linguistic prompt; wherein at least one of the system components includes at least one electronic hardware component. 30. The apparatus of claim 21 further comprising a grammar checking unit configured to analyze the linguistic prompt to detect grammatical errors in the linguistic prompt, and to correct any detected grammatical errors. | 0.615254 |
11. A computer implemented query processing method for processing a query having one or more query terms using formally expressed knowledge against a corpus of documents based on a knowledge base containing a plurality of pieces of formally expressed knowledge, wherein each piece of formally represented knowledge further comprises an item that has been edited or analyzed, the formally represented knowledge further comprising one or more synsets wherein each synset contains a group of terms that have a same meaning, one or more taxonomies wherein each taxonomy contains one or more synsets in a subject matter area that are organized from a synset having a general meaning to a synset having a specific meaning, one or more ontologies wherein each ontology contains one or more synsets associated with an area of interest and one or more facets wherein each facet is associated with a particular ontology and wherein a document is associated with the facet when the document contains the one or more synsets associated with the facet, the method comprising: expanding, using a hardware query engine, the one or more query terms of the query using the one or more synsets and the one or more taxonomies in the knowledge base to generate an expanded query; selecting an interpretation of a concept from the expanded query and the corpus of documents; selecting one or more facets that match the interpretation of the expanded query based on the corpus of documents; and performing, using the hardware query engine, a deep concept query using the expanded query and the selected one or more facets against a corpus of documents. | 11. A computer implemented query processing method for processing a query having one or more query terms using formally expressed knowledge against a corpus of documents based on a knowledge base containing a plurality of pieces of formally expressed knowledge, wherein each piece of formally represented knowledge further comprises an item that has been edited or analyzed, the formally represented knowledge further comprising one or more synsets wherein each synset contains a group of terms that have a same meaning, one or more taxonomies wherein each taxonomy contains one or more synsets in a subject matter area that are organized from a synset having a general meaning to a synset having a specific meaning, one or more ontologies wherein each ontology contains one or more synsets associated with an area of interest and one or more facets wherein each facet is associated with a particular ontology and wherein a document is associated with the facet when the document contains the one or more synsets associated with the facet, the method comprising: expanding, using a hardware query engine, the one or more query terms of the query using the one or more synsets and the one or more taxonomies in the knowledge base to generate an expanded query; selecting an interpretation of a concept from the expanded query and the corpus of documents; selecting one or more facets that match the interpretation of the expanded query based on the corpus of documents; and performing, using the hardware query engine, a deep concept query using the expanded query and the selected one or more facets against a corpus of documents. 16. The method of claim 11 , further comprising retrieving one or more documents that are localized to a localization parameter selected by the user. | 0.634676 |
14. The method of claim 10 , wherein the identifying a characteristic feature associated with the machine code comprises determining that the characteristic feature satisfies a rule related to a determined level of feature scarcity. | 14. The method of claim 10 , wherein the identifying a characteristic feature associated with the machine code comprises determining that the characteristic feature satisfies a rule related to a determined level of feature scarcity. 15. The method of claim 14 , wherein the determined level of feature scarcity is adjustable to enable identification of more exceptional code characteristics in comparison to more common code characteristics that are more common than the exceptional code characteristics. | 0.859341 |
31. The computer-readable medium of claim 20 , further comprising: causing the system to execute the correlated script. | 31. The computer-readable medium of claim 20 , further comprising: causing the system to execute the correlated script. 32. The computer-readable medium of claim 31 , further comprising: generating performance test output for the system based on the system execution of the correlated script. | 0.938658 |
1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications. | 1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications. 3. The method of claim 1 , wherein the first plurality of top terms is determined based on a normalized frequency of co-occurrence of each top term with the topic. | 0.760215 |
32. A computer program product embodied in a non-transitory computer readable medium for verification analysis comprising: code for obtaining a design description including set of constraints wherein the set of constraints includes a multiplication constraint; code for analyzing the set of constraints to identify the multiplication constraint; code for performing factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and code for solving a design problem within the design description based on the factoring values. | 32. A computer program product embodied in a non-transitory computer readable medium for verification analysis comprising: code for obtaining a design description including set of constraints wherein the set of constraints includes a multiplication constraint; code for analyzing the set of constraints to identify the multiplication constraint; code for performing factorization to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and code for solving a design problem within the design description based on the factoring values. 34. The computer program product of claim 32 further comprising code for looping through the factoring values until one or more values are determined which satisfy other constraints. | 0.675431 |
11. The method of claim 1 further comprising verifying that the XML security classification properties in the document metadata has not been tampered by calculating a hash of document properties when the XML based word processing document is saved and subsequently comparing the hash on retrieval and opening of the XML based word processing document. | 11. The method of claim 1 further comprising verifying that the XML security classification properties in the document metadata has not been tampered by calculating a hash of document properties when the XML based word processing document is saved and subsequently comparing the hash on retrieval and opening of the XML based word processing document. 12. The method of claim 11 wherein the hash is determined by applying an encryption algorithm to the XML based word processing document. | 0.924781 |
8. A method of creating an electronic document, comprising: maintaining, in a processor-readable storage medium, a dynamic document template containing a plurality of queries, wherein each query includes a query scope and a context element, wherein the query scope refers to one or more source documents maintained in a document collection and the context element refers to content of the one or more source documents referred to by the query scope; defining, based upon a request received from a first user, a first content rule and a second content rule; applying the first content rule to monitor the document template and trigger an action if a second user changes the document template; applying the second content rule to monitor the document collection and trigger an action if a second user changes any of the source documents referred to by the query scope; in response to both the first content rule and the second content rule triggering an action indicating a change occurred to the document template and at least one of the source documents, determining whether the query scope and context element of each of the queries in the document template are valid; indicating, in response to determining a valid query scope and context element, a query to be valid; if any of the queries are invalid after the change, issuing a notification to the first user indicating an invalid query; determining whether the change satisfies a predetermined condition; if the change satisfies a predetermined condition, triggering a second notification event; receiving a change to one of the queries to result in a modified query; automatically accessing the document collection to determine whether the modified query is valid; and if the modified query is valid, automatically refreshing the document template, wherein refreshing the document template comprises displaying a dynamic document comprising at least a portion of the dynamic document template with the content of the one or more source documents, including the changed source document. | 8. A method of creating an electronic document, comprising: maintaining, in a processor-readable storage medium, a dynamic document template containing a plurality of queries, wherein each query includes a query scope and a context element, wherein the query scope refers to one or more source documents maintained in a document collection and the context element refers to content of the one or more source documents referred to by the query scope; defining, based upon a request received from a first user, a first content rule and a second content rule; applying the first content rule to monitor the document template and trigger an action if a second user changes the document template; applying the second content rule to monitor the document collection and trigger an action if a second user changes any of the source documents referred to by the query scope; in response to both the first content rule and the second content rule triggering an action indicating a change occurred to the document template and at least one of the source documents, determining whether the query scope and context element of each of the queries in the document template are valid; indicating, in response to determining a valid query scope and context element, a query to be valid; if any of the queries are invalid after the change, issuing a notification to the first user indicating an invalid query; determining whether the change satisfies a predetermined condition; if the change satisfies a predetermined condition, triggering a second notification event; receiving a change to one of the queries to result in a modified query; automatically accessing the document collection to determine whether the modified query is valid; and if the modified query is valid, automatically refreshing the document template, wherein refreshing the document template comprises displaying a dynamic document comprising at least a portion of the dynamic document template with the content of the one or more source documents, including the changed source document. 12. The method of claim 8 , further comprising: receiving a change to one of the queries to result in a modified query; automatically accessing the document collection to determine whether the modified query is valid; if the modified query is invalid, notifying a user that the document template may be invalid. | 0.55626 |
1. A method comprising: receiving, by one or more computing devices of a matching-engine system, from an administrator of the matching-engine system a set of physician-selection parameters comprising: a performance-score-range for physicians; and an experience-score-range for physicians; storing, by one or more of the computing devices, the parameters in a data store of the matching-engine system; receiving, by one or more of the computing devices, a search query from a client device of a user of the matching-engine system, the search query comprising a geographic location of the user and one or more of a user-specified symptom or a user-specified treatment; determining, by one or more of the computing devices, at least one base-concept based on the search query, the base-concept comprising a medical diagnosis or a medical procedure; identifying, by one or more of the computing devices, a set of one or more physicians to be recommended to the user based at least in part on: a geographic location of each of the one or more physicians; a performance-score associated with the at least one base-concept for each of the one or more physicians, wherein the performance-score is calculated based on a weighted aggregate of individual performance-scores for one or more sub-concepts of the base-concept, wherein the individual performance-scores are calculated by: (1) accessing one or more Current Procedural Terminology (CPT) codes from claims data received from the physician, wherein the CPT codes refer to a medical service provided by the physician in connection with the one or more sub-concepts; (2) determining one or more relative value units (RVUs) corresponding to the one or more CPT codes, wherein the RVUs corresponding to a CPT code represents a location-independent measure of overall resources used for the medical service; (3) calculating a physician-cost-factor for the physician associated with the one or more sub-concepts, wherein the physician-cost-factor is based on the RVUs corresponding to the medical service provided by the physician for the one or more sub-concepts; (4) accessing an average cost factor associated with the one or more sub-concepts for a plurality of physicians, wherein the physician and the plurality of physicians share a common specialty and common geographic location; and (5) comparing the physician-cost-factor with the average cost factor, wherein the individual performance-score for the physician for the one or more sub-concepts is increased if the physician-cost-factor is lower than the average cost factor; an experience-score associated with the at least one base-concept each of the one or more physicians; and the set of physician-selection parameters from the administrator; and sending, by one or more computing devices, a search-results page to a client device of the user, the search-results page comprising references to one or more of the physicians in the set of physicians. | 1. A method comprising: receiving, by one or more computing devices of a matching-engine system, from an administrator of the matching-engine system a set of physician-selection parameters comprising: a performance-score-range for physicians; and an experience-score-range for physicians; storing, by one or more of the computing devices, the parameters in a data store of the matching-engine system; receiving, by one or more of the computing devices, a search query from a client device of a user of the matching-engine system, the search query comprising a geographic location of the user and one or more of a user-specified symptom or a user-specified treatment; determining, by one or more of the computing devices, at least one base-concept based on the search query, the base-concept comprising a medical diagnosis or a medical procedure; identifying, by one or more of the computing devices, a set of one or more physicians to be recommended to the user based at least in part on: a geographic location of each of the one or more physicians; a performance-score associated with the at least one base-concept for each of the one or more physicians, wherein the performance-score is calculated based on a weighted aggregate of individual performance-scores for one or more sub-concepts of the base-concept, wherein the individual performance-scores are calculated by: (1) accessing one or more Current Procedural Terminology (CPT) codes from claims data received from the physician, wherein the CPT codes refer to a medical service provided by the physician in connection with the one or more sub-concepts; (2) determining one or more relative value units (RVUs) corresponding to the one or more CPT codes, wherein the RVUs corresponding to a CPT code represents a location-independent measure of overall resources used for the medical service; (3) calculating a physician-cost-factor for the physician associated with the one or more sub-concepts, wherein the physician-cost-factor is based on the RVUs corresponding to the medical service provided by the physician for the one or more sub-concepts; (4) accessing an average cost factor associated with the one or more sub-concepts for a plurality of physicians, wherein the physician and the plurality of physicians share a common specialty and common geographic location; and (5) comparing the physician-cost-factor with the average cost factor, wherein the individual performance-score for the physician for the one or more sub-concepts is increased if the physician-cost-factor is lower than the average cost factor; an experience-score associated with the at least one base-concept each of the one or more physicians; and the set of physician-selection parameters from the administrator; and sending, by one or more computing devices, a search-results page to a client device of the user, the search-results page comprising references to one or more of the physicians in the set of physicians. 3. The method of claim 1 wherein the common geographic location comprises a metropolitan statistical area. | 0.539675 |
6. A method according to claim 1 , further comprising highlighting a name of at least one recipient. | 6. A method according to claim 1 , further comprising highlighting a name of at least one recipient. 9. A method according to claim 6 , wherein each recipient is assigned an expertise number. | 0.965267 |
2. A computer-implemented bioinformatics research system comprising: a computer comprising a computer operating system; the computer further comprising a user interface hardware module configured to receive a search query from a user, wherein the search query comprises user selected data type information, user selected data source information, and user specified query parameters, in addition to the data type and data source information; a search engine module configured to receive the search query from the user interface hardware module, conduct a search of data from multiple data sources based on the search query, and generate search results based on the search; the user interface hardware module further comprising; a display module, configured to receive the search results and generate a display based on the search results, a module to receive from a user, selection of an informatics tool to be used to further process the search results; a process module configured to process said search results to provide processed results; and means for displaying the processed search results. | 2. A computer-implemented bioinformatics research system comprising: a computer comprising a computer operating system; the computer further comprising a user interface hardware module configured to receive a search query from a user, wherein the search query comprises user selected data type information, user selected data source information, and user specified query parameters, in addition to the data type and data source information; a search engine module configured to receive the search query from the user interface hardware module, conduct a search of data from multiple data sources based on the search query, and generate search results based on the search; the user interface hardware module further comprising; a display module, configured to receive the search results and generate a display based on the search results, a module to receive from a user, selection of an informatics tool to be used to further process the search results; a process module configured to process said search results to provide processed results; and means for displaying the processed search results. 4. The system of claim 2 , wherein the user interface hardware module further comprises a data source display component for displaying options for a user to select from among a number of data sources and a selection mechanism for enabling a user to select, for a search query, the data sources to be searched. | 0.652057 |
9. A first Hidden Markov Model (HMM) speaker recognition system, comprising: at least one data storage unit; and at least one processor programmed to: create an HMM with a smaller number of states or a larger number of states by pooling Gaussians from a plurality of HMM states into a single HMM state or splitting the Gaussians from the plurality of HMM states into different HMM states, respectively; and normalize Gaussian weights with respect to the HMM states to provide a TD HMM speaker recognition mode and/or a TC HMM speaker recognition mode in a second HMM speaker recognition system; wherein the first HMM speaker recognition system is selected from a group consisting of a Text Dependent (TD) HMM speaker recognition system and a Text Constrained (TC) speaker recognition system. | 9. A first Hidden Markov Model (HMM) speaker recognition system, comprising: at least one data storage unit; and at least one processor programmed to: create an HMM with a smaller number of states or a larger number of states by pooling Gaussians from a plurality of HMM states into a single HMM state or splitting the Gaussians from the plurality of HMM states into different HMM states, respectively; and normalize Gaussian weights with respect to the HMM states to provide a TD HMM speaker recognition mode and/or a TC HMM speaker recognition mode in a second HMM speaker recognition system; wherein the first HMM speaker recognition system is selected from a group consisting of a Text Dependent (TD) HMM speaker recognition system and a Text Constrained (TC) speaker recognition system. 13. The system of claim 9 , wherein the second HMM speaker recognition system includes a single HMM per word and the TD HMM speaker recognition mode and/or the TC HMM speaker recognition mode includes a single HMM per phrase. | 0.539889 |
17. A computer-implemented method of identifying search results based on entity-based knowledge, the method comprising: enumerating one or more entities that may match entities in a search query that includes at least one entity; identifying, as a potential target of the search query, one or more potentially matching entities from the enumerated entities; ranking the identified potentially matching entities so as to distinguish a relative level of match between each identified potential target and the entities included in the search query; selecting one or more of the identified potentially matching entities as matching entities for an entity-based search; performing an entity-based search that narrows results by applying one or more of top ranked, selected ones of the identified potentially matching entities; and ranking narrowed results of the entity-based search to yield relevance-ordered results to the search query, by: distinguishing one group of one or more results each without an entity identifier from another group of one or more results, different from the one group, each with an entity identifier; comparing members of the groups; and organizing results by entities with which the results are associated; and providing ranked narrowed results to a display device, in response to the search query. | 17. A computer-implemented method of identifying search results based on entity-based knowledge, the method comprising: enumerating one or more entities that may match entities in a search query that includes at least one entity; identifying, as a potential target of the search query, one or more potentially matching entities from the enumerated entities; ranking the identified potentially matching entities so as to distinguish a relative level of match between each identified potential target and the entities included in the search query; selecting one or more of the identified potentially matching entities as matching entities for an entity-based search; performing an entity-based search that narrows results by applying one or more of top ranked, selected ones of the identified potentially matching entities; and ranking narrowed results of the entity-based search to yield relevance-ordered results to the search query, by: distinguishing one group of one or more results each without an entity identifier from another group of one or more results, different from the one group, each with an entity identifier; comparing members of the groups; and organizing results by entities with which the results are associated; and providing ranked narrowed results to a display device, in response to the search query. 19. The method of claim 17 , wherein, in the enumerating, the one or more entities that may match are identified based on query keywords or natural language analysis to score a relationship between the search query and known entities in a knowledge store. | 0.573273 |
21. A method according to claim 20 , further comprising: generating, by the computing device, a table having said at least one event along a first dimension of said table and said at least one individual task along a second dimension of said table; wherein linking comprises marking, by the computing device, with a user-perceptible distinguishing feature, at least one task-event linkage in said table at which said at least one individual task is assigned to said at least one event. | 21. A method according to claim 20 , further comprising: generating, by the computing device, a table having said at least one event along a first dimension of said table and said at least one individual task along a second dimension of said table; wherein linking comprises marking, by the computing device, with a user-perceptible distinguishing feature, at least one task-event linkage in said table at which said at least one individual task is assigned to said at least one event. 23. A method according to claim 21 , further comprising auto-generating, by the computing device, in a clinical trial protocol document, a schedule of activities table in dependence upon said at least one task-event-linkage. | 0.869076 |
7. A system having processors and memories to generate a listing of misspells, the system comprising: a search engine to respond to queries, the search engine having a query log; an advertisement component to respond to bids on keywords; a graph generation component that processes the query log to generate a graph having nodes and edges, wherein the nodes represent query terms; and a mutator component that utilizes the graph to generate a misspell graph having nodes that represent correct spellings connected to nodes that represent misspells, wherein the misspell graph is generated when the mutator component performs the following: calculating edit distances between nodes in the graph, wherein the edit distance represents a number of character changes performed to transform each node in the graph to a related node; assigning the edit distances to edges connecting the nodes; pruning edges that have edit distances above a specified threshold to create groups of mutually-connected nodes, wherein pruning edges that have edit distances above a specified threshold further comprises: determining an average number of characters for each group of mutually connected nodes, assigning the average number of characters as the specified threshold for that group of mutually connected nodes, removing edges in each group of mutually connected nodes that are above the specified threshold for that group of mutually connected nodes, and removing disconnected nodes to generate groups of mutually-connected nodes; marking nodes in each group of mutually-connected nodes based on usage frequencies associated with the corresponding query terms, wherein marking nodes in each group of mutually-connected nodes based on usage frequencies associated with the corresponding query terms further comprises, electing a root node in each group of mutually connected nodes, generating direct edges between the elected root nodes and other nodes in the group of mutually-connected nodes, for each other node that is within the specified threshold to the elected root nodes, and removing edges that connect the other nodes to each other; returning the marked groups of mutually-connected noses as the misspell graph; and the advertisement component accesses the misspell graph to generate a list of misspells associated with the keywords and provides the list of misspells associated with the keywords as recommendations in order of usage frequency in the query log. | 7. A system having processors and memories to generate a listing of misspells, the system comprising: a search engine to respond to queries, the search engine having a query log; an advertisement component to respond to bids on keywords; a graph generation component that processes the query log to generate a graph having nodes and edges, wherein the nodes represent query terms; and a mutator component that utilizes the graph to generate a misspell graph having nodes that represent correct spellings connected to nodes that represent misspells, wherein the misspell graph is generated when the mutator component performs the following: calculating edit distances between nodes in the graph, wherein the edit distance represents a number of character changes performed to transform each node in the graph to a related node; assigning the edit distances to edges connecting the nodes; pruning edges that have edit distances above a specified threshold to create groups of mutually-connected nodes, wherein pruning edges that have edit distances above a specified threshold further comprises: determining an average number of characters for each group of mutually connected nodes, assigning the average number of characters as the specified threshold for that group of mutually connected nodes, removing edges in each group of mutually connected nodes that are above the specified threshold for that group of mutually connected nodes, and removing disconnected nodes to generate groups of mutually-connected nodes; marking nodes in each group of mutually-connected nodes based on usage frequencies associated with the corresponding query terms, wherein marking nodes in each group of mutually-connected nodes based on usage frequencies associated with the corresponding query terms further comprises, electing a root node in each group of mutually connected nodes, generating direct edges between the elected root nodes and other nodes in the group of mutually-connected nodes, for each other node that is within the specified threshold to the elected root nodes, and removing edges that connect the other nodes to each other; returning the marked groups of mutually-connected noses as the misspell graph; and the advertisement component accesses the misspell graph to generate a list of misspells associated with the keywords and provides the list of misspells associated with the keywords as recommendations in order of usage frequency in the query log. 9. The system according to claim 7 , wherein the misspell graph is loaded into the advertisement component. | 0.500608 |
1. A computer-implemented method for generating examples for electronic dictionaries to serve as an aid to translation between languages performed by one or more processors, the method comprising: creating an electronic dictionary example by: acquiring at least one dictionary entry comprising a headword W j in a source language and at least one translation T j1 , T j2 , . . . T jn for the headword W j in a target language; generating a first set comprising possible forms for the headword W j in the source language and a second set comprising possible forms for each translation T j1 , T j2 , . . . T jn in the target language; searching a corpus of translations, where the corpus of translations is a preexisting corpus of translation sentence pairs, each translation sentence pair comprising a first sentence in the source language and a second sentence in the target language, where the first sentence is a translation of the second sentence, and the searching includes searching at least one first sentence in the source language included in the corpus of translations and searching at least one second sentence in the target language in the corpus of translations; identifying in the corpus of translations at least one translation sentence pair, from either the searching of the at least one first sentence in the source language or the searching of the at least one second sentence in the target language, that consists of the first sentence that incorporates the headword W j , or one of its generated forms, and the second sentence that incorporates the translation T jn or one of its generated forms; and providing the at least one translation sentence pair to a user. | 1. A computer-implemented method for generating examples for electronic dictionaries to serve as an aid to translation between languages performed by one or more processors, the method comprising: creating an electronic dictionary example by: acquiring at least one dictionary entry comprising a headword W j in a source language and at least one translation T j1 , T j2 , . . . T jn for the headword W j in a target language; generating a first set comprising possible forms for the headword W j in the source language and a second set comprising possible forms for each translation T j1 , T j2 , . . . T jn in the target language; searching a corpus of translations, where the corpus of translations is a preexisting corpus of translation sentence pairs, each translation sentence pair comprising a first sentence in the source language and a second sentence in the target language, where the first sentence is a translation of the second sentence, and the searching includes searching at least one first sentence in the source language included in the corpus of translations and searching at least one second sentence in the target language in the corpus of translations; identifying in the corpus of translations at least one translation sentence pair, from either the searching of the at least one first sentence in the source language or the searching of the at least one second sentence in the target language, that consists of the first sentence that incorporates the headword W j , or one of its generated forms, and the second sentence that incorporates the translation T jn or one of its generated forms; and providing the at least one translation sentence pair to a user. 8. The computer-implemented method of claim 1 , further comprising in the case of the searching yielding a plurality of translation sentence pairs, arranging the plurality of translation sentence pairs in the dictionary entry based on a predefined criterion. | 0.536977 |
9. The method of claim 3 , further comprising applying a subtree reconstruction, the subtree reconstruction including: selecting a record specified by the received expression, the record specifying a starting node in an Extended Markup Language tree representing the Extended Markup Language document; and constructing one or more subtrees under the selected starting node, while also preserving context information that connects newly constructed records with pre-existing records in the Extended Markup Language document. | 9. The method of claim 3 , further comprising applying a subtree reconstruction, the subtree reconstruction including: selecting a record specified by the received expression, the record specifying a starting node in an Extended Markup Language tree representing the Extended Markup Language document; and constructing one or more subtrees under the selected starting node, while also preserving context information that connects newly constructed records with pre-existing records in the Extended Markup Language document. 15. The method of claim 9 , wherein constructing one or more subtrees includes: using a first traversal process to scan and construct the original document; in response to identifying the update target is identified, using a second traversal process on the source data to continue construction of the document; and in response to determining that the source data is fully constructed, switching back to the first traversal process to traverse data located after the target position in the original document, until the whole subtree has been traversed. | 0.725594 |
1. A computer implemented method for processing natural language information in conjunction with a natural language processing (NLP) system, comprising: providing a user interface in communication with a semantic network editing tool disposed to facilitate processing of information in the NLP system from a collection of documents stored in a document repository so as to provide a set of processed information wherein the set of processed information includes entities and relationships between the entities, the entities and relationships labeled with a first ontology of the NLP system, the first ontology including entity types and relation types assigned to the processed entities and relationships in the set of processed information; mapping, using the semantic network editing tool, the entity types and relation types of the first ontology of the NLP system to element types and relation types, respectively, of a second ontology of a semantic network, the first ontology being different from the second ontology; and responsive to a user input provided at the user interface, extracting portions of the set of processed_information for use in the semantic network, wherein the extracting comprises transforming the portions of the set of processed information from the entity types and relation types of the first ontology of the NLP system into the element types and relation types, respectively, of the second ontology of the semantic network thereby enabling the transformed portions of the set of processed information to be displayed as triplets by the user interface. | 1. A computer implemented method for processing natural language information in conjunction with a natural language processing (NLP) system, comprising: providing a user interface in communication with a semantic network editing tool disposed to facilitate processing of information in the NLP system from a collection of documents stored in a document repository so as to provide a set of processed information wherein the set of processed information includes entities and relationships between the entities, the entities and relationships labeled with a first ontology of the NLP system, the first ontology including entity types and relation types assigned to the processed entities and relationships in the set of processed information; mapping, using the semantic network editing tool, the entity types and relation types of the first ontology of the NLP system to element types and relation types, respectively, of a second ontology of a semantic network, the first ontology being different from the second ontology; and responsive to a user input provided at the user interface, extracting portions of the set of processed_information for use in the semantic network, wherein the extracting comprises transforming the portions of the set of processed information from the entity types and relation types of the first ontology of the NLP system into the element types and relation types, respectively, of the second ontology of the semantic network thereby enabling the transformed portions of the set of processed information to be displayed as triplets by the user interface. 12. The method of claim 1 wherein the mapping includes automatically converting one or more of the element types and relation types of the second ontology into NLP extractor definitions disposed to begin training. | 0.529312 |
21. A system for generating search queries based on a media audio stream played over a telephone of a user, the system comprising: a memory to store computer programmable code; a processor to execute the computer programmable code stored in the memory; a database to store entity lists comprising a global hot-list with universally popular keywords and keyword phrases and an entity list with keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving the user; a digitizer to digitize any analog words detected in an audio stream of a video or other media played over a telephone of the user; an identifier to identify words or phrases in the digitized audio stream through speech recognition; a comparator to compare the identified words or phrases to the keywords and keyword phrases stored in the database to locate any matches; a search string generator to generate a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; wherein the processor: submits the search string to a search engine as a search query; and sends a set of search results returned by the search engine based on the submitted search string to the telephone of the user. | 21. A system for generating search queries based on a media audio stream played over a telephone of a user, the system comprising: a memory to store computer programmable code; a processor to execute the computer programmable code stored in the memory; a database to store entity lists comprising a global hot-list with universally popular keywords and keyword phrases and an entity list with keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving the user; a digitizer to digitize any analog words detected in an audio stream of a video or other media played over a telephone of the user; an identifier to identify words or phrases in the digitized audio stream through speech recognition; a comparator to compare the identified words or phrases to the keywords and keyword phrases stored in the database to locate any matches; a search string generator to generate a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; wherein the processor: submits the search string to a search engine as a search query; and sends a set of search results returned by the search engine based on the submitted search string to the telephone of the user. 22. The system of claim 21 , wherein the search string generator detects a contextual piece of information within the audio stream or as related to a status of the telephone; and integrates the contextual piece of information with the search string to narrow the automatically-submitted search query to the search engine, to thereby affect the search results thereof. | 0.559264 |
10. A host computing device comprising: one or more microcontrollers; an accessory port connectable to a connector for an accessory device; one or more computer-readable storage media storing instructions that when executed via the one or more microcontrollers cause the host computing device to perform operations including: detecting insertion of the connector into the accessory port via a pair of detection pins integrated with the connector; obtaining a logic state combination of high and low logic states conveyed via the pair of detection pins; determining a device type for the accessory device as a one wire device or a two wire device based upon the logic state combination; ascertaining an orientation of the connector inserted in the accessory port including: when the device type is a one wire device, determining the orientation of the connection directly from the logic state combination; or when the device type is a two wire device, sampling resistor values for one or more identity resistors of the accessory device via the pair of detection pins to establish validity states indicative of the orientation; and setting-up signal routing according to the type of device and ascertained orientation. | 10. A host computing device comprising: one or more microcontrollers; an accessory port connectable to a connector for an accessory device; one or more computer-readable storage media storing instructions that when executed via the one or more microcontrollers cause the host computing device to perform operations including: detecting insertion of the connector into the accessory port via a pair of detection pins integrated with the connector; obtaining a logic state combination of high and low logic states conveyed via the pair of detection pins; determining a device type for the accessory device as a one wire device or a two wire device based upon the logic state combination; ascertaining an orientation of the connector inserted in the accessory port including: when the device type is a one wire device, determining the orientation of the connection directly from the logic state combination; or when the device type is a two wire device, sampling resistor values for one or more identity resistors of the accessory device via the pair of detection pins to establish validity states indicative of the orientation; and setting-up signal routing according to the type of device and ascertained orientation. 13. A host computing device as described in claim 10 , wherein determining the device type based upon the logic state combination comprises referencing a mapping of possible logic state combinations to detection cases to identify the device type. | 0.542032 |
1. A method for operating a computing apparatus to translate into a linear query a graphic language query expressed as one or more elements, including example elements and implied operand predicates, appearing in rows and columms of an example table including one or more source and target tables and, optionally, in condition blocks, comprising the steps of: generating row names into a row name table having one entry for each row in a source table; for each data field within each row named in said row name table which contains an example element definition or implied operand predicate, generating and loading into a column data table an entry specifying the row name, column name, and data; and generating into a conditions table an entry containing a basic predicate for each column data table entry containing an implied operand predicate or an example element having an implied condition; thereby establishing in said row name table, column data table, and conditions table a data structure for synthesizing into a linear query a graphic language query specified as a target point query, or a combined print query, or an insert query, or an update query, or a delete query. | 1. A method for operating a computing apparatus to translate into a linear query a graphic language query expressed as one or more elements, including example elements and implied operand predicates, appearing in rows and columms of an example table including one or more source and target tables and, optionally, in condition blocks, comprising the steps of: generating row names into a row name table having one entry for each row in a source table; for each data field within each row named in said row name table which contains an example element definition or implied operand predicate, generating and loading into a column data table an entry specifying the row name, column name, and data; and generating into a conditions table an entry containing a basic predicate for each column data table entry containing an implied operand predicate or an example element having an implied condition; thereby establishing in said row name table, column data table, and conditions table a data structure for synthesizing into a linear query a graphic language query specified as a target point query, or a combined print query, or an insert query, or an update query, or a delete query. 3. The method of claim 1, comprising the further step of substituting parameters passed in said graphic language query prior to building said data structure. | 0.559387 |
10. A method comprising: providing a parallel programming interface comprising multidimensional data types and a set of parallel operations; receiving at least one first parallel processing request at the parallel programming interface, the at least one first parallel processing request comprising at least one evaluation request of one or more parallel operations on one or more input arrays; building an expression graph in response to receiving the at least one first parallel processing request, the expression graph comprising nodes representing parallel processing operations; and evaluating the one or more parallel operations in response to determining that a second parallel processing request received at the parallel programming interface subsequent to receiving the at least one first parallel processing request at the parallel programming interface requires evaluation of at least one of the one or more parallel operations, the determining occurring in response to receiving the second parallel processing request at the parallel programming interface, the evaluating comprising: creating one or more shader programs formed according to resource constraints of a graphics environment; the creating comprising at least one of: responsive to determining that appending shader code of a child node to a parent node of the child node will exceed a resource constraint of the graphics environment, inserting a first shader break annotation in the expression graph; and responsive to determining that a path of nodes of parallel processing operations through the expression graph comprises multiple texture coordinate operations, inserting a second shader break annotation in the expression graph; receiving an output responsive to invoking the one or more shader programs on a graphics processor; and providing the output at the parallel programming interface; wherein the method is implemented by a computer; and wherein the at least one first parallel processing request and the second parallel processing request are received from an application program executing on the computer. | 10. A method comprising: providing a parallel programming interface comprising multidimensional data types and a set of parallel operations; receiving at least one first parallel processing request at the parallel programming interface, the at least one first parallel processing request comprising at least one evaluation request of one or more parallel operations on one or more input arrays; building an expression graph in response to receiving the at least one first parallel processing request, the expression graph comprising nodes representing parallel processing operations; and evaluating the one or more parallel operations in response to determining that a second parallel processing request received at the parallel programming interface subsequent to receiving the at least one first parallel processing request at the parallel programming interface requires evaluation of at least one of the one or more parallel operations, the determining occurring in response to receiving the second parallel processing request at the parallel programming interface, the evaluating comprising: creating one or more shader programs formed according to resource constraints of a graphics environment; the creating comprising at least one of: responsive to determining that appending shader code of a child node to a parent node of the child node will exceed a resource constraint of the graphics environment, inserting a first shader break annotation in the expression graph; and responsive to determining that a path of nodes of parallel processing operations through the expression graph comprises multiple texture coordinate operations, inserting a second shader break annotation in the expression graph; receiving an output responsive to invoking the one or more shader programs on a graphics processor; and providing the output at the parallel programming interface; wherein the method is implemented by a computer; and wherein the at least one first parallel processing request and the second parallel processing request are received from an application program executing on the computer. 11. The method of claim 10 wherein the exceeded resource constraint comprises a constraint on the number of instructions in a shader program, a constraint on the number of texture reads in a shader program, a constraint on the number of temporary registers in a shader program, or a constraint on the number of texture coordinate registers in a shader program. | 0.56535 |
15. A system comprising: a memory; and at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising: receiving presentation data from a client device, the presentation data including a set of presentation elements; generating a composite presentation, based on the presentation data, and cause display of the composite presentation within a graphical user interface that comprises a first region and a second region on a group of devices, the first region of the graphical user interface comprising a display of the composite presentation that includes a first presentation element at a location among the arrangement of the set of presentation elements, and the second region of the graphical user interface comprising a newsfeed to display annotations on the composite presentation; receiving a selection of the first presentation element from a first device from the group of devices, the selection including a user input onto the composite presentation, and to request annotation data from the first device in response to the user input onto the composite presentation, the annotation data including an indication of an annotation type, and an identifier associated with the first device; and causing display of a notification element at the location corresponding to the first presentation element among the arrangement of the set of presentation elements within the composite presentation, the presentation of the notification element comprising a graphical icon selected based on the annotation type, and including an annotation identifier and the identifier associated with the first client device; updating the newsfeed within the second region of the graphical user interface to include a depiction of the annotation data that comprises the annotation identifier and the identifier associated with the first client device; receiving a selection of the notification element; and responsive to receiving the selection, presenting the annotation data associated with the notification element within the second region of the graphical user interface. | 15. A system comprising: a memory; and at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising: receiving presentation data from a client device, the presentation data including a set of presentation elements; generating a composite presentation, based on the presentation data, and cause display of the composite presentation within a graphical user interface that comprises a first region and a second region on a group of devices, the first region of the graphical user interface comprising a display of the composite presentation that includes a first presentation element at a location among the arrangement of the set of presentation elements, and the second region of the graphical user interface comprising a newsfeed to display annotations on the composite presentation; receiving a selection of the first presentation element from a first device from the group of devices, the selection including a user input onto the composite presentation, and to request annotation data from the first device in response to the user input onto the composite presentation, the annotation data including an indication of an annotation type, and an identifier associated with the first device; and causing display of a notification element at the location corresponding to the first presentation element among the arrangement of the set of presentation elements within the composite presentation, the presentation of the notification element comprising a graphical icon selected based on the annotation type, and including an annotation identifier and the identifier associated with the first client device; updating the newsfeed within the second region of the graphical user interface to include a depiction of the annotation data that comprises the annotation identifier and the identifier associated with the first client device; receiving a selection of the notification element; and responsive to receiving the selection, presenting the annotation data associated with the notification element within the second region of the graphical user interface. 18. The system of claim 15 , wherein the graphical user interface further comprises: a set of one or more user selectable graphical elements representing a set of one or more composite presentations located within the memory location associated with the client device; and a newsfeed comprising one or more notification elements associated with the client device. | 0.797101 |
10. A system to deliver a search query result in an information management system that manages data associated with reports stored offline, the system comprising: a long-term backup repository configured to store archived or compressed reports; and a processor configured to: search the archived or compressed reports stored in the long-term backup repository to identify a report among the archived or compressed reports that matches criteria provided in a search query; bring an offline data repository that stores the identified report in the long-term backup repository online, wherein the processor is configured to unarchive or decompress the identified report to bring the offline data repository online and make data associated with the identified report available; export the data associated with the unarchived or decompressed report in accordance with an export option provided in a request to view the unarchived or decompressed report; deliver the data exported from the unarchived or decompressed report to a spreadsheet application, wherein manipulating the data delivered to the spreadsheet application does not modify the identified report stored in the offline data repository associated with the long-term backup repository; search multiple immediately available reports stored in an online data repository to identify a report among the multiple immediately available reports that matches the criteria provided in the search query; export data associated with the immediately available report that matches the criteria provided in the search query in accordance with the export option; and deliver the data exported from the immediately available report that matches the criteria provided in the search query to the spreadsheet application, wherein manipulating the exported data associated with the immediately available report that matches the criteria provided in the search query via the spreadsheet application does not modify the report that matches the criteria provided in the search query stored in the online data repository. | 10. A system to deliver a search query result in an information management system that manages data associated with reports stored offline, the system comprising: a long-term backup repository configured to store archived or compressed reports; and a processor configured to: search the archived or compressed reports stored in the long-term backup repository to identify a report among the archived or compressed reports that matches criteria provided in a search query; bring an offline data repository that stores the identified report in the long-term backup repository online, wherein the processor is configured to unarchive or decompress the identified report to bring the offline data repository online and make data associated with the identified report available; export the data associated with the unarchived or decompressed report in accordance with an export option provided in a request to view the unarchived or decompressed report; deliver the data exported from the unarchived or decompressed report to a spreadsheet application, wherein manipulating the data delivered to the spreadsheet application does not modify the identified report stored in the offline data repository associated with the long-term backup repository; search multiple immediately available reports stored in an online data repository to identify a report among the multiple immediately available reports that matches the criteria provided in the search query; export data associated with the immediately available report that matches the criteria provided in the search query in accordance with the export option; and deliver the data exported from the immediately available report that matches the criteria provided in the search query to the spreadsheet application, wherein manipulating the exported data associated with the immediately available report that matches the criteria provided in the search query via the spreadsheet application does not modify the report that matches the criteria provided in the search query stored in the online data repository. 12. The system recited in claim 10 , wherein the processor is further configured to: display a proceed message to confirm whether to bring the offline data repository online, wherein the proceed message displays a prompt to confirm whether to recall the identified report to make the data associated therewith available, an availability associated with the identified report, and an expected time to recall the identified report from the offline data repository; and display a confirmation message in response to a confirmation to the prompt displayed in the proceed message, wherein the confirmation message displays an indication that a recall request associated with the identified report has been submitted to the long-term backup repository, an expected time until the data associated with the identified report will be available, and an elapsed time since the recall request was submitted to the long-term backup repository. | 0.504787 |
1. A computer-performed method of organizing a collection of electronic documents, the method comprising: in a computer system, storing entries in multiple dictionaries separate from and not associated with any particular one of the electronic documents, wherein the multiple dictionaries are data structures stored within the computer system, wherein individual ones of the multiple dictionaries correspond to one of a plurality of different subjects, wherein the entries contain a descriptive term and wherein entries corresponding to an entity contain an entity type code indicating that the entry is an entity entry with respect to a subject of the one of the multiple dictionaries in which the entry is stored and a category of that entity, wherein entity entries are identified as belonging to one or more special categories of terms that have special meaning with respect to their corresponding subjects, and wherein at least some of the descriptive terms are present in two or more of the multiple dictionaries; responsive to requests within the computer system, accessing the collection of electronic documents by matching terms contained in the electronic documents with descriptive terms in the multiple dictionaries to determine one or more subjects of the electronic documents from subjects of one or more of the multiple dictionaries that contain the descriptive terms matching the terms contained in the electronic documents; and responsive to the matching detecting a match between a descriptive term in one of the multiple dictionaries, determining whether or not the entry containing the descriptive term has an entity type code; responsive to determining that the entry has an entity type code, providing an indication of the entity type code in conjunction with an indication of the one or more subjects of the electronic documents along with the one or more subjects determined by the determining in response to the requests; storing a representation of the one or more subjects determined by the determining one or more subjects of the electronic documents along with the indication of the entity type code in a memory of the computer system as tags associated with the collection of electronic documents wherein the tags describe subjects to which the corresponding electronic documents pertain; receiving a request to identify one or more of the electronic documents, wherein the request includes at least one search term descriptive of the one or more electronic documents and at least one entity type code identifying the search term as an entity and a type of the entity; determining whether the at least one search term is present in a given one of the multiple dictionaries; responsive to determining that the at least one search term is present in the given dictionary, first detecting whether an entry matching the at least one search term is an entity or a non-entity; responsive to determining that the at least one search term is not present in the given dictionary, second detecting whether or not an entry matching the at least one entity type code is present in the given dictionary; using a result of the first detecting and a result of the second detecting in determining at least one subject for the at least one search term; and matching the at least one subject with the tags associated with the collection of electronic documents to obtain the one or more electronic documents to return in response to the request; and storing a representation of the one or more electronic documents in a memory of the computer system to provide the response to the request to identify the one or more electronic documents. | 1. A computer-performed method of organizing a collection of electronic documents, the method comprising: in a computer system, storing entries in multiple dictionaries separate from and not associated with any particular one of the electronic documents, wherein the multiple dictionaries are data structures stored within the computer system, wherein individual ones of the multiple dictionaries correspond to one of a plurality of different subjects, wherein the entries contain a descriptive term and wherein entries corresponding to an entity contain an entity type code indicating that the entry is an entity entry with respect to a subject of the one of the multiple dictionaries in which the entry is stored and a category of that entity, wherein entity entries are identified as belonging to one or more special categories of terms that have special meaning with respect to their corresponding subjects, and wherein at least some of the descriptive terms are present in two or more of the multiple dictionaries; responsive to requests within the computer system, accessing the collection of electronic documents by matching terms contained in the electronic documents with descriptive terms in the multiple dictionaries to determine one or more subjects of the electronic documents from subjects of one or more of the multiple dictionaries that contain the descriptive terms matching the terms contained in the electronic documents; and responsive to the matching detecting a match between a descriptive term in one of the multiple dictionaries, determining whether or not the entry containing the descriptive term has an entity type code; responsive to determining that the entry has an entity type code, providing an indication of the entity type code in conjunction with an indication of the one or more subjects of the electronic documents along with the one or more subjects determined by the determining in response to the requests; storing a representation of the one or more subjects determined by the determining one or more subjects of the electronic documents along with the indication of the entity type code in a memory of the computer system as tags associated with the collection of electronic documents wherein the tags describe subjects to which the corresponding electronic documents pertain; receiving a request to identify one or more of the electronic documents, wherein the request includes at least one search term descriptive of the one or more electronic documents and at least one entity type code identifying the search term as an entity and a type of the entity; determining whether the at least one search term is present in a given one of the multiple dictionaries; responsive to determining that the at least one search term is present in the given dictionary, first detecting whether an entry matching the at least one search term is an entity or a non-entity; responsive to determining that the at least one search term is not present in the given dictionary, second detecting whether or not an entry matching the at least one entity type code is present in the given dictionary; using a result of the first detecting and a result of the second detecting in determining at least one subject for the at least one search term; and matching the at least one subject with the tags associated with the collection of electronic documents to obtain the one or more electronic documents to return in response to the request; and storing a representation of the one or more electronic documents in a memory of the computer system to provide the response to the request to identify the one or more electronic documents. 4. The method of claim 1 , wherein the multiple dictionaries include multiple entity entries for the same descriptive term. | 0.930259 |
16. The computer system of claim 15 , wherein the constraints comprise one or more numeric constraints for use by the one or more algorithms, and wherein a numeric constraint represents a numeric value. | 16. The computer system of claim 15 , wherein the constraints comprise one or more numeric constraints for use by the one or more algorithms, and wherein a numeric constraint represents a numeric value. 17. The computer system of claim 16 , wherein at least one numeric constraint is derived by a reference to another constraint. | 0.933502 |
1. A method for generating a document structure, comprising: aligning various parts in the first version and the second version in at least one pair of historical versions among a plurality of historical versions of a document; dividing the first version and the second version into a plurality of blocks on the basis of a Levenshtein distance between the aligned parts in the first version and the second version; evaluating a level of the block in the document structure on the basis of text features of the block among the plurality of blocks; and generating the document structure on the basis of a position of the block according to an evaluation result. | 1. A method for generating a document structure, comprising: aligning various parts in the first version and the second version in at least one pair of historical versions among a plurality of historical versions of a document; dividing the first version and the second version into a plurality of blocks on the basis of a Levenshtein distance between the aligned parts in the first version and the second version; evaluating a level of the block in the document structure on the basis of text features of the block among the plurality of blocks; and generating the document structure on the basis of a position of the block according to an evaluation result. 9. The method according to claim 1 , wherein the plurality of historical versions are plain text files. | 0.726096 |
23. The method of claim 19 , wherein the incoming request comprises a user identifier, the method further comprising accessing a user profile using the user identifier and using the user profile to determine the operational mode of the website. | 23. The method of claim 19 , wherein the incoming request comprises a user identifier, the method further comprising accessing a user profile using the user identifier and using the user profile to determine the operational mode of the website. 24. The method of claim 23 , wherein the user profile comprises a preferred operational mode of the user, and wherein determining the operational mode of the website comprises selecting the preferred operational mode from the user profile. | 0.8441 |
1. A multilevel speech recognition method, the method comprising: extracting a keyword from a first speech command received from a user; determining whether the extracted keyword from the first speech command of the user includes an application indication for an application using an application speech recognition model; in response to the extracted keyword from the first speech command being determined to not include the application indication, providing a candidate application group of a category providing a service determined to be associated with the extracted keyword, and identifying a selected application selected by the user from the provided candidate application group using a category speech recognition model based on a set of words associated with the category; and processing a second speech command, from the user, for the selected application selected from the provided candidate application group, using the application speech recognition model, based on a set of words associated with the selected application, wherein the application speech recognition model is updated based on at least one of a voice, a pronunciation, or an accent of the user obtained from the second speech command, and a word frequently received from the user included in the second speech command, the word being associated with the selected application. | 1. A multilevel speech recognition method, the method comprising: extracting a keyword from a first speech command received from a user; determining whether the extracted keyword from the first speech command of the user includes an application indication for an application using an application speech recognition model; in response to the extracted keyword from the first speech command being determined to not include the application indication, providing a candidate application group of a category providing a service determined to be associated with the extracted keyword, and identifying a selected application selected by the user from the provided candidate application group using a category speech recognition model based on a set of words associated with the category; and processing a second speech command, from the user, for the selected application selected from the provided candidate application group, using the application speech recognition model, based on a set of words associated with the selected application, wherein the application speech recognition model is updated based on at least one of a voice, a pronunciation, or an accent of the user obtained from the second speech command, and a word frequently received from the user included in the second speech command, the word being associated with the selected application. 3. The method of claim 1 , wherein the category speech recognition model is updated based on a characteristic and a use pattern of the user obtained from the first speech command. | 0.574885 |
16. One or more computer-readable non-transitory media comprising computer-executable instructions causing a computer to perform a computer-implemented method comprising: receiving a set of candidate predictive data mining model templates; repeatedly transforming the set of candidate predictive data mining model templates, wherein the transforming comprises building predictive data mining models based on templates in the set and historical data, scoring the predictive data mining models based on test data and an objective function, and choosing, by software, based on the scoring, additional candidate predictive data mining model templates for inclusion in the set based on scoring results; building and scoring additional predictive data mining models based on the additional candidate predictive data mining model templates; and storing an indication of a candidate predictive data mining model template for which a built and scored predictive data mining model best meets the objective function; wherein at least one of the set of candidate predictive data mining model templates is represented at least in part by a stored digital chromosome according to a genetic algorithm; and transforming the set of candidate predictive data mining model templates comprises selecting a chromosome via a roulette wheel chromosome selection strategy. | 16. One or more computer-readable non-transitory media comprising computer-executable instructions causing a computer to perform a computer-implemented method comprising: receiving a set of candidate predictive data mining model templates; repeatedly transforming the set of candidate predictive data mining model templates, wherein the transforming comprises building predictive data mining models based on templates in the set and historical data, scoring the predictive data mining models based on test data and an objective function, and choosing, by software, based on the scoring, additional candidate predictive data mining model templates for inclusion in the set based on scoring results; building and scoring additional predictive data mining models based on the additional candidate predictive data mining model templates; and storing an indication of a candidate predictive data mining model template for which a built and scored predictive data mining model best meets the objective function; wherein at least one of the set of candidate predictive data mining model templates is represented at least in part by a stored digital chromosome according to a genetic algorithm; and transforming the set of candidate predictive data mining model templates comprises selecting a chromosome via a roulette wheel chromosome selection strategy. 17. The one or more computer-readable media of claim 16 wherein the transforming comprises: applying a genetic algorithm to the set of candidate predictive data mining model templates in light of how well respective models built therefor meet the objective function. | 0.526208 |
1. An automated method for generating an image quality guide document comprising: for at least one image in a set of images undergoing image enhancement: identifying image quality-related features for the image based on enhancements being automatically applied to the image, identifying image content-related features based on content of the image, determining a content-based degradation of the image based on the identified image quality-related features and image content-related features, and retrieving a photograph shooting tip for correcting the degradation in the image, based on the determined content-based degradation; generating a thumbnail of each of the images; and generating an image quality guide document including the thumbnails for the images in the set of images in which at least one of the thumbnails is associated with a respective text description that is based on the determined content-based degradation, the text description including the shooting tip associated with the thumbnail of the image. | 1. An automated method for generating an image quality guide document comprising: for at least one image in a set of images undergoing image enhancement: identifying image quality-related features for the image based on enhancements being automatically applied to the image, identifying image content-related features based on content of the image, determining a content-based degradation of the image based on the identified image quality-related features and image content-related features, and retrieving a photograph shooting tip for correcting the degradation in the image, based on the determined content-based degradation; generating a thumbnail of each of the images; and generating an image quality guide document including the thumbnails for the images in the set of images in which at least one of the thumbnails is associated with a respective text description that is based on the determined content-based degradation, the text description including the shooting tip associated with the thumbnail of the image. 12. The method of claim 1 , wherein the text description includes a description of the content-based degradation and a corresponding image enhancement applied. | 0.62452 |
11. A method implemented on a computing device having a processor for determining a learner's final grade in an academic course, comprising: using the computing device having the processor to perform the following: selecting a type of natural interaction forum to assess a learner's knowledge of subject matter; attaching a rubric to the selected natural interaction forum, the rubric being used as a benchmark for assessing the learner's knowledge; assigning to the learner a natural interaction assignment that uses the selected natural interaction forum; assessing the learner's knowledge based on the learner's posts in the selected natural interaction forum using a participation metric that measures both statistically and visually a participation of the learner in the natural interactions forum to generate assessment results for the learner; computing a single score from the assessment results corresponding to the learner's grade on the natural interaction assignment; integrating the learner's grade on the natural interaction assignment into a formal gradebook; and producing a final grade for the learner based at least on the learner's grade on the natural interaction assignment. | 11. A method implemented on a computing device having a processor for determining a learner's final grade in an academic course, comprising: using the computing device having the processor to perform the following: selecting a type of natural interaction forum to assess a learner's knowledge of subject matter; attaching a rubric to the selected natural interaction forum, the rubric being used as a benchmark for assessing the learner's knowledge; assigning to the learner a natural interaction assignment that uses the selected natural interaction forum; assessing the learner's knowledge based on the learner's posts in the selected natural interaction forum using a participation metric that measures both statistically and visually a participation of the learner in the natural interactions forum to generate assessment results for the learner; computing a single score from the assessment results corresponding to the learner's grade on the natural interaction assignment; integrating the learner's grade on the natural interaction assignment into a formal gradebook; and producing a final grade for the learner based at least on the learner's grade on the natural interaction assignment. 15. The method of claim 11 , further comprising: tagging a learner's posts in the selected natural interaction forum with tags that match information in the learner's posts to topics in the rubric; accumulating each of the tags associated with the learner to define a tagging metric; and assessing the learner's knowledge using the tagging metric. | 0.609812 |
7. A non-transitory computer-readable storage medium containing a program, which, when executed on a processor is configured to perform an operation for processing video image data, the operation comprising: detecting a plurality of objects in the video image data; and for each object: generating a primitive event symbol stream identifying one or more primitive events engaged in by the object, wherein each primitive event represents a behavior engaged in by the object, generating a phase-space symbol stream representing quantitative characteristics of the object, wherein the phase-space symbol stream for the object indicates a trajectory of that object in the video image data over time, and combining the primitive event symbol stream and the phase-space symbol stream to generate a vector representation of the behavior engaged in by the object as depicted in the video image data. | 7. A non-transitory computer-readable storage medium containing a program, which, when executed on a processor is configured to perform an operation for processing video image data, the operation comprising: detecting a plurality of objects in the video image data; and for each object: generating a primitive event symbol stream identifying one or more primitive events engaged in by the object, wherein each primitive event represents a behavior engaged in by the object, generating a phase-space symbol stream representing quantitative characteristics of the object, wherein the phase-space symbol stream for the object indicates a trajectory of that object in the video image data over time, and combining the primitive event symbol stream and the phase-space symbol stream to generate a vector representation of the behavior engaged in by the object as depicted in the video image data. 11. The computer-readable storage medium of claim 7 , wherein identifying the primitive events comprises: analyzing kinematic data and posture data associated with one of the objects; and generating the primitive event symbol stream based on the analyzed data. | 0.507317 |
5. A method comprising: receive, in a computer system, a document containing a template definition, the template definition including data bind nodes and identifying at least one of multiple data bind node classes; receive, in the computer system, one or more modifications to the template definition, wherein the modification is a major modification at least if it edits or adds any data bind node having the identified data bind node class, and wherein the modification is a minor modification if it does not edit or add any data bind node having the identified data bind node class; identify, using the computer system, one or more of the data bind nodes within the template definition having the identified data bind node class; find, using the computer system and for each identified data bind node, any corresponding predetermined hash previously calculated based on content of the corresponding identified data bind node; calculate, using the computer system, a separate hash for each identified data bind node; compare, using the computer system, the calculated separate hash for each identified data bind node with the corresponding predetermined hash; and flag, using the computer system, the document as having the major modification at least if either the calculated separate hash for a data bind node does not match up with the corresponding predetermined hash or if no corresponding predetermined hash exists for one or more of the data bind nodes, wherein the minor modification does not cause the document to be flagged, wherein each data bind node comprises a link between at least one field in the document and an external data source. | 5. A method comprising: receive, in a computer system, a document containing a template definition, the template definition including data bind nodes and identifying at least one of multiple data bind node classes; receive, in the computer system, one or more modifications to the template definition, wherein the modification is a major modification at least if it edits or adds any data bind node having the identified data bind node class, and wherein the modification is a minor modification if it does not edit or add any data bind node having the identified data bind node class; identify, using the computer system, one or more of the data bind nodes within the template definition having the identified data bind node class; find, using the computer system and for each identified data bind node, any corresponding predetermined hash previously calculated based on content of the corresponding identified data bind node; calculate, using the computer system, a separate hash for each identified data bind node; compare, using the computer system, the calculated separate hash for each identified data bind node with the corresponding predetermined hash; and flag, using the computer system, the document as having the major modification at least if either the calculated separate hash for a data bind node does not match up with the corresponding predetermined hash or if no corresponding predetermined hash exists for one or more of the data bind nodes, wherein the minor modification does not cause the document to be flagged, wherein each data bind node comprises a link between at least one field in the document and an external data source. 6. The method of claim 5 , further comprising: executing the template definition contained in the document, whether or not the document has been flagged. | 0.640712 |
1. An energy harvesting communication device configured with on chip signal booster apparatus; comprising: at least a communication apparatus; at least an antenna apparatus in association with an input and/or output device; at least a processor in communication with at least one of: said at least a communication apparatus; said at least an antenna apparatus; a charge platform in association with at least charging circuit; at least an interactive media in association with at least an interactive interface; an output device; and at least a sensor apparatus embedded in silicon substrate and etched and/or fused in nano-fiber and/or microfiber material, said at least a sensor apparatus in association with said at least a communication apparatus to provide at least one of an effective energy harvesting medium, communication clarity, communication medium, detection selectivity medium, and detection platform. | 1. An energy harvesting communication device configured with on chip signal booster apparatus; comprising: at least a communication apparatus; at least an antenna apparatus in association with an input and/or output device; at least a processor in communication with at least one of: said at least a communication apparatus; said at least an antenna apparatus; a charge platform in association with at least charging circuit; at least an interactive media in association with at least an interactive interface; an output device; and at least a sensor apparatus embedded in silicon substrate and etched and/or fused in nano-fiber and/or microfiber material, said at least a sensor apparatus in association with said at least a communication apparatus to provide at least one of an effective energy harvesting medium, communication clarity, communication medium, detection selectivity medium, and detection platform. 13. The energy harvesting communication device of claim 1 , wherein said sensor apparatus is configured with said interactive interface in association with said communication apparatus for providing interactive communications. | 0.820428 |
10. A method of classifying an image, comprising: for two or more portions of a set of images of known classification, classifying members of each portion using a particular classifier engine in response to a set of metrics for each member of each portion; selecting a portion of the set of images whose classifications satisfy a first criteria; classifying members of the selected portion of the set of images using two or more classifier engines in response to the set of metrics; selecting a classifier engine whose classification of the selected portion of the set of images satisfies a second criteria; and classifying the image using the selected classifier engine in response to the set of metrics. | 10. A method of classifying an image, comprising: for two or more portions of a set of images of known classification, classifying members of each portion using a particular classifier engine in response to a set of metrics for each member of each portion; selecting a portion of the set of images whose classifications satisfy a first criteria; classifying members of the selected portion of the set of images using two or more classifier engines in response to the set of metrics; selecting a classifier engine whose classification of the selected portion of the set of images satisfies a second criteria; and classifying the image using the selected classifier engine in response to the set of metrics. 12. The method of claim 10 , further comprising generating the set of images of known classification from images of product packaging deemed to be authentic and images of product packaging deemed to be counterfeit. | 0.72585 |
6. The method of claim 1 , the method further comprising: identifying at least one term having a semantic relationship with the at least one semantic token. | 6. The method of claim 1 , the method further comprising: identifying at least one term having a semantic relationship with the at least one semantic token. 7. The method of claim 6 , wherein identifying data in a knowledge base comprises identifying data in a knowledge base using the at least one semantic token and the at least one semantically-related term. | 0.938586 |
5. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, perform acts comprising: generating a first corpus of phrases each comprising at least two grammatically-correct words; filtering the first corpus of phrases to define a second corpus of phrases, wherein the filtering the first corpus of phrases comprises: determining a commonality of words of the multiple phrases of the first corpus of phrases; and filtering out phrases of the first corpus of phrases to define a second corpus of phrases based at least in part on the determined commonality of the words of the multiple phrases; outputting phrases of the second corpus of phrases to each of multiple users; receiving selections of phrases from each of the multiple users; and responsive to the receiving of the selection, associating a selected phrase with each respective user of the multiple users. | 5. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, perform acts comprising: generating a first corpus of phrases each comprising at least two grammatically-correct words; filtering the first corpus of phrases to define a second corpus of phrases, wherein the filtering the first corpus of phrases comprises: determining a commonality of words of the multiple phrases of the first corpus of phrases; and filtering out phrases of the first corpus of phrases to define a second corpus of phrases based at least in part on the determined commonality of the words of the multiple phrases; outputting phrases of the second corpus of phrases to each of multiple users; receiving selections of phrases from each of the multiple users; and responsive to the receiving of the selection, associating a selected phrase with each respective user of the multiple users. 11. One or more computer-readable media as recited in claim 5 , wherein the filtering of the first corpus of phrases further comprises: determining a readability of each of multiple phrases of the first corpus of phrases; and filtering out a phrases of the first corpus of phrases based at least in part on the determined readability of the multiple phrases. | 0.59443 |
12. A system for query formulation, comprising: a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish searching a corpus, to produce a first collection of records, by testing for appearances of a lexical unit that can be indicative of an object-of-interest; a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish identifying a first collection of role values corresponding to the first collection of records; a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish performing frequency analysis of sets of one or more lexical units, contained within the first collection of role values, to produce a first candidate list of exclude terms; and wherein each role value is part of a frame instance, each instance produced by application of a frame extraction rule to a record of the corpus. | 12. A system for query formulation, comprising: a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish searching a corpus, to produce a first collection of records, by testing for appearances of a lexical unit that can be indicative of an object-of-interest; a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish identifying a first collection of role values corresponding to the first collection of records; a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish performing frequency analysis of sets of one or more lexical units, contained within the first collection of role values, to produce a first candidate list of exclude terms; and wherein each role value is part of a frame instance, each instance produced by application of a frame extraction rule to a record of the corpus. 18. The system of claim 12 , further comprising: a sub-system configured, as a result of the computing hardware and programmable memory, to accomplish selecting one or more exclude terms, from the first candidate list of exclude terms. | 0.527879 |
2. The method of claim 1 in which the monitoring comprises monitoring conversations in which the live participant engages, and actions of the live participant. | 2. The method of claim 1 in which the monitoring comprises monitoring conversations in which the live participant engages, and actions of the live participant. 3. The method of claim 2 including the further steps of extracting tone data from the conversations to determine one of urgency or priority and using the extracted tone data when building the virtual model. | 0.934824 |
10. A computer-implemented method for handling a received document, said received document having been transmitted electronically and involving an encoding scheme, the method comprising: receiving a plurality of text document samples, said plurality of text document samples being encoded with different encoding schemes and selected for training purposes, said different encoding schemes pertaining to charset encoding; and training, using said plurality of text document samples, to obtain a set of machine learning models, said training including generating fundamental units from said plurality of text document samples for charsets of said plurality of text document samples, extracting a subset of said fundamental units as feature lists, said extracting said subset of said fundamental units including filtering said fundamental units to obtain fundamental units that are more discriminatory in describing differences between said different encoding schemes, converting said feature lists into a set of feature vectors, and generating said set of machine learning models from said set of feature vectors using SIM (Similarity Algorithm), said feature vectors are grouped by charsets; applying said set of machine learning models against a set of received document feature vectors converted from said received document, said applying including analyzing said set of received document feature vectors using said set of machine learning models to compute similarity indicia between said set of received document feature vectors and said set of machine learning models associated with said different encoding schemes, said similarity indicia including at least a set of cross-angles between said set of target document feature vectors and said set of machine learning models, wherein a first encoding scheme associated with said set of machine learning models is designated as said encoding scheme if characteristics of said first encoding scheme as represented by said set of machine learning models are computed to be most similar, relative to other encoding schemes of said different encoding schemes, to said set of received document feature vectors; and decoding said target document to obtain decoded content of said document based on at least said first encoding scheme. | 10. A computer-implemented method for handling a received document, said received document having been transmitted electronically and involving an encoding scheme, the method comprising: receiving a plurality of text document samples, said plurality of text document samples being encoded with different encoding schemes and selected for training purposes, said different encoding schemes pertaining to charset encoding; and training, using said plurality of text document samples, to obtain a set of machine learning models, said training including generating fundamental units from said plurality of text document samples for charsets of said plurality of text document samples, extracting a subset of said fundamental units as feature lists, said extracting said subset of said fundamental units including filtering said fundamental units to obtain fundamental units that are more discriminatory in describing differences between said different encoding schemes, converting said feature lists into a set of feature vectors, and generating said set of machine learning models from said set of feature vectors using SIM (Similarity Algorithm), said feature vectors are grouped by charsets; applying said set of machine learning models against a set of received document feature vectors converted from said received document, said applying including analyzing said set of received document feature vectors using said set of machine learning models to compute similarity indicia between said set of received document feature vectors and said set of machine learning models associated with said different encoding schemes, said similarity indicia including at least a set of cross-angles between said set of target document feature vectors and said set of machine learning models, wherein a first encoding scheme associated with said set of machine learning models is designated as said encoding scheme if characteristics of said first encoding scheme as represented by said set of machine learning models are computed to be most similar, relative to other encoding schemes of said different encoding schemes, to said set of received document feature vectors; and decoding said target document to obtain decoded content of said document based on at least said first encoding scheme. 15. The computer-implemented method of claim 10 further displaying said decoded content if said email message is determined to be not spam according to said determining. | 0.524865 |
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