30 results about "Context type" patented technology

A targeting location information system uses a portable computing device interfaced with a positioning system in combination with a distributed network. Targeting methods and apparatus are then used to identify a user selected location that is some distance away from the then current location of the portable computing device, the targeting methods allow the user of said portable computing device to target a specific distant location or a range of specific distant locations that is a particular distance and orientation away from said then current location of the portable computing device. Target location coordinates for a specific or range of distant locations is then transmitted to the distributed network and is used in the retrieval of corresponding location specific information. Additional information may be associated with the web page information such as priority information, object type information, context type information, or weighting information. The web page information associated with said location coordinates may then be displayed, optionally contingent upon said priority information, context type information, object type information, or other conditional information.

The invention discloses an SQL script analysis method, an SQL script analysis device and an SQL script analysis system. The SQL script analysis method comprises: A, extracting SQL scripts from running logs according to the SQL script execution sequence in the running log; B, performing the morphologic, grammar and semantic analysis of each SQL script in turn and generating a semantic result collection of the SQL scripts; and C, analyzing the type of the context of the SQL scripts according to the semantic result collection, generating the context correlation information of all SQL scripts in the running log, and acquiring the data flow information of the running log according to the semantic result collection and the context correlation information. When the SQL script analysis method, the SQL script analysis device and the SQL script analysis system, which are disclosed by the invention, are used, by morphologic, grammar and semantic analysis of the SQL scripts and the analysis on the context correlation, the loss of data flow semantic information is avoided when the metadata of the SQL scripts are generated; and thus, the integrity and accuracy of the acquired metadata of the SQL scripts are improved and the acquisition quality of the metadata of the SQL scripts is guaranteed.

Disclosed are methods and systems for displaying a business intelligence report on a client computing device in the client-server network according to a change in contextual information. The methods and systems involve receiving a context update message from a context acquisition module associated with the client computing device through one or more software interfaces provided by the context acquisition module. The context update message includes a contextual type for identifying a contextual business object, defining the business intelligence report at least in part. The business intelligence report is updated by applying the change in the contextual information provided by the context update message. The updated business intelligence report is transmitted to the client device and the updated business intelligence report is displayed on the display client-computing device.

A natural (e.g., handwriting or speech) input recognition system and method that uses contextual mapping to improve recognition accuracy by biasing recognition based on the context of an input field. As natural input data is being entered into an application field, the context (type) of the field is determined and used to locate context-based validation rules and context-based user bias data. When entry is complete, the context-based validation rules and context-based user bias data are provided to a recognition engine with the natural input data. The recognizer biases its recognition result by using the rules and the user bias data to recognize the natural input. A field signature generator is described that determines each field's context, independent of the application, and a data harvesting engine is described that automatically collects user bias data from various data stores.

The embodiment of the invention provides an item recommendation method, which comprises the following steps that: N preference values are determined, wherein each preference value in the N preference values indicates the selection preference degree of a target user in a plurality of users on a target item in a plurality of items under the condition of X context type indications; a preference value tensor is determined according to the N preference values, and (X+2) matrix factors are determined according to the preference value tensor; and the item recommendation is carried out according to the at least one matrix factor in the (X+2) matrix factors. According to the embodiment of the invention, a plurality of matrix factors approaching to the tensor can be determined according to data sparseness preference value tensor values, and then, the item recommendation can be carried out according to the at least one matrix factor. The order of each matrix factor in a plurality of matrix factors is respectively smaller than the order of the initial preference value tensor, so that during the context recommendation, the recommendation accuracy can be ensured, and the calculation complexity is also effectively reduced.

A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

A method for aiding a user in recalling and generating a password. Many times it is easier for a user to remember a place, phrase, person, or other piece of information based on a certain context. The present invention allows for generating a password based on contextual information provided by the user. By providing a context type and a pass phrase, a secure password can be generated. The invention also provides a mechanism for “fuzzy matching”, in which a user only needs to provide a password that is close enough to a stored password to gain access to a website or service. The context type and pass phrase can be used to create a list of passwords (the list being limited to a certain number of entries), each matched against a database of passwords to validate entry.

The invention discloses an application development method and a development and application platform system for operating the method. The method comprises the following steps: application development is divided into single signalling grades, and the application development is performed based on the hierarchical structure that foundation framework class libraries are developed, and various application component AppBean foundation types, application context interfaces and basic context types are defined in the foundation framework class libraries to provide a foundation core function; different AppBean foundation types correspond to different applications and used for processing different signallings; according to the service property, service framework class libraries customized for service are developed on the basis of the foundation framework class libraries; the application for realizing service requirements is developed on the basis of both the foundation framework class libraries and the service framework class libraries; and the developed application is used for resource access on the basis of the application context. The technical scheme provided by the invention solves the problem of complicated application development process.

The embodiment of the invention provides a voice activity detection method and device. The method comprises the following steps of acquiring a speech signal input by a user, and converting the speechsignal into text information; determining a context type corresponding to the text information and / or non-linguistic feature information in the speech signal; determining detection duration accordingto the context type and / or the non-linguistic feature information; recognizing a corresponding pronunciation interval of each word in the text information in the speech signal, and using the end timepoint of a corresponding pronunciation interval of a first word in the speech signal as a first end point when the pronunciation interval of a second word is determined to be not included in the detection duration after the pronunciation interval of the first word in the text information; and using the first end point as a speech end point of a sentence where the first word is located in the speech signal when the semantic structure of the sentence where the first word is located is determined to be complete.

The invention discloses an information recommendation method of calculating user preference similarity based on a context ontology tree. According to the method, differential influences of various context types and concrete examples thereof on user preferences are analyzed, and a context-based user preference extraction method is designed; then ontology is utilized to carry semantic expression on contexts, an ontology tree expression-based context similarity calculation method is constructed, and the precision of finding similar user sets in collaborative filtering recommendation is improved; and on the basis of the above-mentioned user preference extraction, the extracted contexts are introduced into a collaborative filtering recommendation process, the similarity between the context user preferences is calculated, a collaborative filtering recommendation method based on user context preference analysis is designed, and problems of sparseness, cold starting and the like of existing recommendation methods are solved.

The invention provides a knowledge graph vector representation generation method, device and equipment, and relates to the technical field of artificial intelligence, and the specific implementation scheme is that the method comprises the steps: obtaining a knowledge graph, and enabling the knowledge graph to comprise a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes through a context model according to the context data and the context type. Therefore,finer semantic representation of the entity in the context is realized, and the knowledge graph representation learning accuracy is further improved.

A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

A method and system for managing the presentation or display of information items or context are described. In one aspect of the invention, the method comprises the steps of selecting an entity of a context type associated with a first display, determining at least one second display associated with the context of the selected entity; and making available information associated with the selected entity to each of the determined associated at least one second display. In another aspect of the invention, the method further provides for inhibiting the availability of information associated with the selected entity to a selected one of said determined associated second displays when the selected second display is the same as the first display. An “activate / deactivate” capability is provided such that a display (or window) can be configured to listen to selected context or to stop listening dynamically.

The invention discloses a context recommendation method and device based on high-order singular value decomposition. The method comprises the steps of obtaining grading information of a user on a project and corresponding context information; constructing a three-order tensor corresponding to each piece of context according to different context types; expanding each three-order tensor according toan expansion rule to obtain three second-order matrices; according to all the second-order matrices, determining a central tensor dimension by utilizing the singular value decomposition, and constructing a new third-order tensor; calculating the weight of each piece of context; constructing an N-order tensor according to the new third-order tensor and the corresponding context weights; finding the position corresponding to the target user on the N-order tensor according to a target user ID and a project ID, and generating a recommendation list for the target user. By means of the method, thecontext information is fused into recommendation generation, and by calculating the context weights and determining the central tensor dimension, the accuracy of a recommendation result is greatly improved.

The present invention relates to the handling of context of data packet flows. As mentioned, there is a need of a coordination mechanism for the transfer of context for flows that belong to the same session. One object with the invention is to offer a coordination mechanism for the handling of context associated to flows that belong to the same session. The above-mentioned object is achieved by a context procedure, in which the total context for a session is divided into one common context and one dynamic context per IP flow. The common context is handled by a centralized control node, such as a Midcom Agent, and the dynamic context is handled by a middlebox associated to an access router. The context transfer procedures for the two types of contexts are coordinated so that an unambiguous session control is maintained.

The invention discloses a context simulation method for network community voice communication. The method comprises the following steps: a network community interface is expanded; a voice communication interface is entered from the network community interface; a context type is selected, a different context is correspondingly set according to the average audio frequency and the average voice speed of a different age group to enable the contexts to represent people of a different age group; voice is inputted through opening a microphone; the audio frequency of the voice is adjusted according to the audio frequency and the voice speed of the selected context; and the voice after adjustment is outputted. The outputted voice can be rich in the context of a person of a corresponding age group, the user can randomly select a context of a person of a different age group for voice communication, gaps between people of different age groups can be reduced, friendship is enhanced, entertainment is strong, and the user is happy to have a try and accept.

A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used wherein each lookup table corresponds to an image context type.

A method and system reconstructs a contone image from a binary image by first tagging pixels to identify one of a multiplicity of image content types. The tag information and the pattern of bits surrounding the pixel to be converted to a contone value are used to reconstruct a contone image from a binary image. The pattern of bits in the neighborhood is used to generate a unique identifier. The unique identifier is used as the address for a lookup table with the contone value to be used. A filter also generates a contone value. A selector selects between the look-up table contone value and the filter contone value based an image context type.

A method and system prioritizes frames to be transmitted from a local node to a remote node on a Fibre Channel Arbitration Loop. The frames are placed in context queues. Each kind of context queue is assigned a priority. A determination of a set of transmit frame types is made. A user, an external device, or code may determine the number of transmit frame types in the set. A priority is assigned for each of the transmit frame types in the set. The transmit frame types may be determined by context type. The frames are prepared for transmission. The queues are examined by a suitable method to determine order of transmission. The transmit prioritizer preferably comprises five three-entry deep queues in which the prioritizer places valid contexts classified by transmit frame type. Queued contexts are selected for outgoing frame transmission by a prioritization algorithm aimed at saving the current fibre channel loop tenancy to maximize performance whenever possible. The context manager controls context storage and retrieval and the transmit prioritizer selects the context for which frame transfers will be performed.

Television system comprising a television associated with a decoder and at least one remote peripheral comprising a viewing screen, and control means as well as means of digital dialogue between the peripheral and the television or the decoder, the peripheral comprising means of remote control of at least one function of the television or of the decoder and means of viewing of at least one content originating from the television characterized in that the functions associated with the means of control of the peripheral are of contextual type and are determined by information originating from the television or from the decoder.

Systems and methods are described for dynamically generating contextual interactives. In various aspects, the content of web page can be analyzed to determine one or more semantic rules associated with the web page. The semantic rules can include the keywords or the entities of the webpage, which can be used to define a context type for the web page. The context type for the web page can include, for example, a financial context type, an entertainment context type, a sports context type, a technical products context type, or any other context type associated with a web page or news article that appears within a web page. A contextual interactive may then be generated based on the context type for the web page. The contextual interactive may then be embedded within the web page such that the contextual interactive is operable to allow a user to interact with the contextual interactive.

A method and system prioritizes frames to be transmitted from a local node to a remote node on a Fibre Channel Arbitration Loop. The frames are placed in context queues. Each kind of context queue is assigned a priority. A determination of a set of transmit frame types is made. A user, an external device, or code may determine the number of transmit frame types in the set. A priority is assigned for each of the transmit frame types in the set. The transmit frame types may be determined by context type. The frames are prepared for transmission. The queues are examined by a suitable method to determine order of transmission. The transmit prioritizer preferably comprises five three-entry deep queues in which the prioritizer places valid contexts classified by transmit frame type. Queued contexts are selected for outgoing frame transmission by a prioritization algorithm aimed at saving the current fibre channel loop tenancy to maximize performance whenever possible. The context manager controls context storage and retrieval and the transmit prioritizer selects the context for which frame transfers will be performed.

This application proposes a method, device and equipment for generating vector representations of knowledge graphs, which relate to the field of artificial intelligence technology. The specific implementation scheme is: acquiring knowledge graphs, wherein the knowledge graphs include multiple entity nodes; acquiring the context corresponding to the knowledge graphs type and context data; and generating vector representations corresponding to multiple entity nodes through the context model according to the context data and context type. As a result, a more refined semantic representation of entities in the context is achieved, thereby further improving the accuracy of knowledge graph representation learning.

The invention discloses a voice translation method and a device, a terminal and a computer storage medium, and the method comprises the steps: obtaining voice information in an environment, and determining a phoneme sequence corresponding to the voice information; translating the voice information into literal translation information according to the phoneme sequence; acquiring context informationof the voice information, and acquiring a context type according to the literal translation information and the context information; and performing context translation processing on the literal translation information according to the context type to obtain target translation information. According to the method, the technical problems of low speech translation quality and low speech translationefficiency are solved.

The invention relates to a camouflage camouflage effect evaluation method, which comprises the following steps: making camouflage material photos of different posture profiles of human figures; making various background material photos; randomly inserting camouflage material photos into preset background material photos One of the 4 to 8 search positions to make a photo to be evaluated; select observers, and make each observer familiar with the experimental process; make each observer judge the different postures of the human figure in the photo to be evaluated within the specified time What kind of posture is the outline, and the judgment result is fed back to the computer. The computer calculates the average judgment accuracy rate and the average reaction time of each camouflage to be evaluated in different background environments. When a camouflage to be evaluated is in a certain If the correct rate of judgment in this background environment is low and the average reaction time is long, the camouflage effect of the camouflage to be evaluated is good in this environmental background; otherwise, the camouflage effect is poor. The invention not only has simple operation, low cost and wide application background, but also can effectively improve the accuracy of the experimental results and effectively increase the comprehensiveness of the experimental results.

The invention discloses an information recommendation method of calculating user preference similarity based on a context ontology tree. According to the method, differential influences of various context types and concrete examples thereof on user preferences are analyzed, and a context-based user preference extraction method is designed; then ontology is utilized to carry semantic expression on contexts, an ontology tree expression-based context similarity calculation method is constructed, and the precision of finding similar user sets in collaborative filtering recommendation is improved; and on the basis of the above-mentioned user preference extraction, the extracted contexts are introduced into a collaborative filtering recommendation process, the similarity between the context user preferences is calculated, a collaborative filtering recommendation method based on user context preference analysis is designed, and problems of sparseness, cold starting and the like of existing recommendation methods are solved.

The embodiment of the invention provides an item recommendation method, which comprises the following steps that: N preference values are determined, wherein each preference value in the N preference values indicates the selection preference degree of a target user in a plurality of users on a target item in a plurality of items under the condition of X context type indications; a preference value tensor is determined according to the N preference values, and (X+2) matrix factors are determined according to the preference value tensor; and the item recommendation is carried out according to the at least one matrix factor in the (X+2) matrix factors. According to the embodiment of the invention, a plurality of matrix factors approaching to the tensor can be determined according to data sparseness preference value tensor values, and then, the item recommendation can be carried out according to the at least one matrix factor. The order of each matrix factor in a plurality of matrix factors is respectively smaller than the order of the initial preference value tensor, so that during the context recommendation, the recommendation accuracy can be ensured, and the calculation complexity is also effectively reduced.

The invention discloses an SQL script analysis method, an SQL script analysis device and an SQL script analysis system. The SQL script analysis method comprises: A, extracting SQL scripts from running logs according to the SQL script execution sequence in the running log; B, performing the morphologic, grammar and semantic analysis of each SQL script in turn and generating a semantic result collection of the SQL scripts; and C, analyzing the type of the context of the SQL scripts according to the semantic result collection, generating the context correlation information of all SQL scripts in the running log, and acquiring the data flow information of the running log according to the semantic result collection and the context correlation information. When the SQL script analysis method, the SQL script analysis device and the SQL script analysis system, which are disclosed by the invention, are used, by morphologic, grammar and semantic analysis of the SQL scripts and the analysis on the context correlation, the loss of data flow semantic information is avoided when the metadata of the SQL scripts are generated; and thus, the integrity and accuracy of the acquired metadata of the SQL scripts are improved and the acquisition quality of the metadata of the SQL scripts is guaranteed.

In one embodiment, a method includes receiving user behavior data and contextual information associated with the user behavior data, the contextual information including a first data portion associated with a first context type. The method includes generating, from the user behavior data and the contextual information using a hashing algorithm, a first heterogeneous hash code including a first portion representing the user behavior data and a second hash code portion representing the first data portion associated with the first context type. The method includes accessing a second heterogeneous hash code including a third hash code portion representing a second data portion associated with the first context type. The method includes comparing the first heterogeneous hash code with the second heterogeneous hash code including determining similarity between the second hash code portion of the first heterogeneous hash code and the third hash code portion of the second heterogenous hash code.