725 results about "Context based" patented technology

A system and a method are disclosed for adding linked content to text messages. Messages are analyzed to determine the context and meaning of a conversation between users, and linked content relevant to the conversation is selected and associated with certain words or phrases in the messages. This process for enhancing text messages beneficially provides users with additional information related to the meaning of their conversation, and also provides advertisers with a valuable new way of delivering highly relevant advertisements to a precise group of users.

A process control management method in a computer system for configuring and supervising a process plant includes providing an interactive user interface to manage a plurality of objects in the process plant, where each of the plurality of objects corresponds to a physical or logical entity in the process plant, including generating a navigation pane to display a set of selectable items, each in the set of selectable items corresponding to a respective one of the plurality of objects, and generating a command pane to display a set of selectable controls, each in the set of selectable controls corresponding to a task to be performed on at least one of the plurality of objects in the process plant; receiving a selection of one of an item in the set of selectable items via the navigation panel and a control in the set of selectable controls via the command panel; determining an operational context based on the received selection, wherein the operational context corresponds to one of a range of actions applicable to the selection if the selection is an item selection, or a range of items to which the selection is applicable if the selection is a control selection; and adjusting one of the navigation pane or the command pane according to the operational context, including displaying a subset of selectable items in the navigational pane, wherein each in the subset of selectable items is within the range applicable to the selection, if the selection is a control selection, and displaying a subset of selectable controls in the command pane, wherein each in the subset of selectable controls is within the range applicable to the selection, if the selection is an item selection.

Apparatus and computer-readable media for associating metadata with a geographic location are provided. The apparatus includes logic for detecting that a mobile device is present at a geographic location relevant to a user of the mobile device, logic for retrieving context information associated with the location, logic for selecting a program code module based upon a contextual relevancy of the location, logic for providing the program code module for execution, where the program code module is capable of performing processing specific to at least one aspect of the location, the processing is based upon the context information, and the program code module is further capable of receiving at least one input data item from the mobile device, where the at least one input data item describes an activity of the user at the location, and logic for associating the at least one input data item with the location.

Systems and methods are provided that allow for a portable electronic device to provide smart menus to a user based on a context of a transaction. Specifically, the method of using a portable electronic device may include opening a near field communication (NFC) channel with a point-of-purchase device and providing a smart menu based on a determined context. The portable electronic device may be configured to determine the context based at least in part upon acquiring sales transaction information for the point-of-purchase device. Additionally, the portable electronic device may be configured to determine the context based at least in part upon acquiring vendor identification information.

One embodiment of the present invention provides a computing device that delivers personally-defined context-based content to a user. This computing device receives a set of contextual information with respect to the user, and processes the contextual information to determine a context which is associated with an activity being performed by the user. The computing device then determines whether either or both the context and a current activity of the user satisfy a trigger condition which has been previously defined by the user. If so, the computing device selects content from a content database, based on the context, to present to the user, and presents the selected content.

A triggering mechanism for generating task reminders based on contextual information associated with the tasks is provided. Contextual information may be extracted from a variety of sources and may be related to one or more tasks. Based on the contextual information, task reminders may be generated and may be presented in a manner that makes the task reminders more useful to an end user.

A user is enabled to navigate through an electronic data base in a personalized manner. A context is created based on a profile of the user, the profile being at least partly formed in advance. Candidate data is selected from the data base under control of the context and the user is enabled to interact with the candidates. The profile is based on topical information supplied by the user in advance and a history of previous accesses from the user to the data base.

An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.

A method is disclosed for generating a network topology representation based on inspection of application messages at a network device. According to one aspect, a network device receives a request packet, routes the packet to the destination, and extracts and stores correlation information from a copy of the request packet. When the network device receives a response packet, it examines the contents of a copy of the response packet using context-based correlation rules and matches the response packet with the appropriate stored request packet correlation information. It analyzes recorded correlation information to determine application-to-application mapping and calculate application response times. Another embodiment inserts custom headers that contain information used to match a response packet with a request packet into request packets.

Systems and processes for unified language modeling are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a character of a sequence of characters and determining a current character context based on the received character of the sequence of characters and a previous character context. The method further includes determining a current word representation based on the current character context and determining a current word context based on the current word representation and a previous word context. The method further includes determining a next word representation based on the current word context and providing the next word representation.

A voice command recognition apparatus and method thereof are described. The voice command recognition apparatus includes audio sensors placed at different locations; a context determiner configured to determine user context based on a voice received at the audio sensors, wherein the context comprises a vocalization from a user. A command recognizer in the voice command recognition apparatus is configured to activate to recognize a voice command or remain inactive according to the recognized context.

Comprehensive methods and systems are described for creating, managing, searching, personalizing, and monetizing a knowledge system defined over a corpus of digital content. Systems and methods are described in which a user can initiate in-depth searches of subject matter and can browse, navigate, pinpoint, and select relevant contexts, concepts, and documents to gain knowledge. Systems and methods are described in which knowledge can be personalized through tagged, personalized context, and personalized context can be shared within social and professional networks, securely and confidentially and with the desired access control. Systems and methods are described in which products and services can be advertised in context and advertising can be selected through a bidding process. Systems and methods are described by which a user can navigate contexts and concepts to obtain relevant information, products and services.

A media player may occasionally be unable to play or continue to play a particular item of media. When that occurs, the media player outputs an error indication that is related to the type of media that the problem media item is representative of. For example, if the problem item is a movie, then the media player may display an error indication having the appearance of broken movie film. If the problem media item is music, then the media player may display an error indication having the appearance of a broken compact disc (“CD”). Thus whatever the type of media that is not playing, the media player outputs an error indication that is appropriate for that type of media. The error indications output by the player are therefore context-based or media-appropriate.

Enabling dynamic, computer-driven, context-based detection of social network patterns within an input graph representing a social network. A Social Network Aware Pattern Detection (SNAP) system and method utilizes a highly-scalable, computationally efficient integration of social network analysis (SNA) and graph pattern matching. Social network interaction data is provided as an input graph having nodes and edges. The graph illustrates the connections and/or interactions between people, objects, events, and activities, and matches the interactions to a context. A sample graph pattern of interest is identified and/or defined by the user of the application. With this sample graph pattern and the input graph, a computational analysis is completed to (1) determine when a match of the sample graph pattern is found, and more importantly, (2) assign a weight (or score) to the particular match, according to a pre-defined criteria or context.

A method for presenting dynamic advertising comprises providing an advertising presentation device; regularly receiving electronic context data related to the advertising presentation device; on the basis of the context data, automatically generating context-based advertising; and causing the advertising presentation device to present the context-based advertising. The method is useful in particular for mobile advertising presentation devices, as it enables advertising to be dynamically generated based on regularly received context data such as presentation device location, date/time, user input at the advertising presentation device. Increased relevance of the advertisement to the observer is therefore provided. A system for presenting dynamic advertisements comprises an advertising presentation device; a controller in communications with the advertising presentation device, the controller for: regularly receiving electronic context data related to the advertising presentation device; automatically generating context-based advertising on the basis of the context data; and causing the advertising presentation device to present the context-based advertising.

The present invention involves the dynamic loading and unloading of relatively small text-string vocabularies within a speech recognition system. In one embodiment, sub-databases of high likelihood text strings are created and prioritized such that those text strings are made available within definable portions of computer-transcribed dictations as a first-pass vocabulary for text matches. Failing a match within the first-pass vocabulary, the voice recognition software attempts to match the speech input to text strings within a more general vocabulary. In another embodiment, the first-pass text string vocabularies are organized and prioritized and loaded in relation to specific fields within an electronic form, specific users of the system and/or other general context-based, interrelationships of the data that provide a higher probability of text string matches then those otherwise provided by commercially available speech recognition systems and their general vocabulary databases.

The present disclosure generally relates to context-based endpoint detection in user speech input. A method for identifying an endpoint of a spoken request by a user may include receiving user input of natural language speech including one or more words; identifying at least one context associated with the user input; generating a probability, based on the at least one context associated with the user input, that a location in the user input is an endpoint; determining whether the probability is greater than a threshold; and in accordance with a determination that the probability is greater than the threshold, identifying the location in the user input as the endpoint.

According to an embodiment, a data processing system for facilitating consumer identity resolution comprises: a first logic module adapted to receive at least two collections of consumer records from at least two different sources; a second logic module adapted to compute first trust scores for first data fields of the first collection and second trust scores for second data fields of the second collection; a third logic module adapted to generate a master collection of consumer records comprising at least one master consumer record that is correlated to a record from the first collection and a record from the second collection, the correlation being based on at least on the trust scores; and a fourth logic module adapted to receive a set of contextual transaction data. The data processing system is adapted to identify a consumer based on the contextual transaction data and the master collection of consumer records.

Methods, systems, and computer program products for extensible, profile- and context-based information correlation, routing, and distribution are disclosed. According to one system, source plug-ins receive output from a plurality of different sensors. A content manager merges data from individual sensors together with metadata that is representative of a context and aggregates the sensor data and the context metadata into knowledge items. A scenario engine achieves sensor fusion by comparing the sensor data and its context metadata against a defined set of policies and/or rules and provides for performance of an action when a rule or policy is satisfied.

Means for allowing users to manage and make productive use of PIM data are provided. User status is determined by certain contextual indicia whereby other parties may contact the user through the most appropriate means as reflected by that contextual indicia. Information concerning presence, status, location, availability and so forth are aggregated from various PIM sources and communicated to other parties who initiate contact with the user in light of the aggregated information. Various groups and permissions may be implemented with regard to the collection and sharing of information.

A method and system for image coding, wherein an image is divided into a plurality of blocks for scanning. The pixels values in the scanned block are represented by a plurality of level-run value pairs, wherein the level value is indicative of a non-zero pixel value and the run value is indicative of the number of consecutive zero pixel values preceding the non-zero pixel value. A plurality of contexts indicative of the level-run value pairs are conveyed to a decoder for allowing the decoder to reconstruct the image based on the contexts. The assignment of the contexts is also based on the level value of a preceding level-run pair. Additionally, instead of an end-of-block symbol, the number of non-zero coefficients is provided to the decoder prior to conveying the contexts thereto.

Information retrieval systems face challenging problems with delivering highly relevant and highly inclusive search results in response to a user's query. Contextual personalized information retrieval uses a set of integrated methodologies that can combine automatic concept extraction/matching from text, a powerful fuzzy search engine, and a collaborative user preference learning engine to provide accurate and personalized search results. The system can include constructing a search query to execute a search of a database parsing an input query from a user conducting the search of the database into sub-strings, and matching the sub-strings to concepts in a semantic concept network of a knowledge base. The system can further map the matched concepts to criteria and criteria values that specify a set of constraints on and scoring parameters for the matched concepts. Furthermore, the system can learn user preferences to construct one or more profiles for producing personalized search results.

A software visualization tool consistent with the present invention integrates OLAP functionality with focus+context based techniques for navigation through and inspection of large multidimensional datasets. Focus+context based navigation techniques are used to increase the clarity and information content provided to the user. The visualization tool supports a number of operations of the data set, including: select-slice, aggregation, promote/demote, repeat-variables, and sort.

A context-aware service recommender system receives current user context and recommends a list of browser-based services to a user on a mobile devices. A user's mobile device receives context events from smart environments in which the mobile device is operating. Data about the context events is relayed to a service recommendation server. The server develops recommendations based on the context and other factors, and relays information about the recommended services to the mobile device. As each recommended service is selected or ignored by the user of the mobile device, the device sends implicit feedback with this information to the service recommendation server for use in subsequent recommendations.

An entropy encoding/decoding scheme uses an arithmetic encoder/decoder together with a context modeler for performing a context-based adaptive binary arithmetic coding, which is especially suited for video compression applications. The context modeler includes an initializer for initializing the context modeler by determining and providing initialization probability information to the arithmetic encoder, the initialization probability information to be used by the arithmetic encoder for processing a start symbol of a symbol sequence. The initializer is operative to determine the initialization probability information based on an estimation of the symbol statistics relating to the start symbol such that an initialization probability distribution is different from an equi-probable distribution for all symbols of the symbol set. By means of the initialization, the context-based adaptive binary arithmetic coding/decoding scheme is optimally adjusted before processing a start symbol of the symbol sequence so that no bit rate compression losses because of a delayed context-based adaptation are introduced.

A method for terminological adaptation includes receiving a vocabulary pair including source and target language terms. Each term is in a class which includes a set of sequences. Contextual phrase pairs are extracted from a bilingual training corpus, each including source and target phrases. The phrases each include a sequence of the same class as the respective source and target terms as well as some associated context. Templates are generated, based on the contextual phrase pairs. In each template the source and target sequences of a contextual phrase pair are replaced with respective placeholders, each denoting the respective class of the sequence. Candidate phrase pairs are generated from these templates. In each candidate phrase pair, the placeholders of one of the templates are replaced with respective terms of a vocabulary pair of the same class. Some candidate phrase pairs are incorporated into a phrase table of a machine translation system.

A method for computationally predicting future movement behaviors of at least one target object can have the steps of

• • producing sensor data by at least one sensor physically sensing the environment of a host vehicle, and
  • computing a plurality of movement behavior alternatives of a target object sensed by the sensor(s).

The context based prediction step uses a set of classifiers, each classifier estimating a probability that said sensed target object will execute a movement behavior at a time. The method can also include validating the movement behavior alternatives by a physical prediction comparing measured points with trajectories of situation models and determining at least one trajectory indicating at least one possible behavior of the traffic participant, estimating at least one future position of the traffic participant based on the at least one trajectory, and

• • outputting a signal representing the estimate future position.

A language recognition system, method and program product for recognizing language based input from computer users on a network of connected computers. Each computer includes at least one user based language model trained for a corresponding user for automatic speech recognition, handwriting recognition, machine translation, gesture recognition or other similar actions that require interpretation of user activities. Network computer users are clustered into classes of similar users according to user similarities such as, nationality, profession, sex, age, etc. User characteristics are collected by sensors and from databases and, then, distributed over the network during user activities. Language models with similarities among similar users on the network are identified. The language models include a language model domain, with similar language models being clustered according to their domains. Language models identified as similar are modified in response to user production activities. After modification of one language model, other identified similar language models are compared and adapted. Also, user data, including information about user activities and language model data, is transmitted over the network to other similar users. Language models are adapted only in response to similar user activities, when these activities are recorded and transmitted over the network. Language models are given a global context based on similar users that are connected together over the network.

Systems and methods for interacting with virtual objects in a three-dimensional space using a wearable system are disclosed. The wearable system can be programmed to allow a user to interact with virtual objects using a user input device and poses. The wearable system can also automatically determine contextual information such as layout of the virtual objects in the user's environment and switch the user input mode based on the contextual information.

In one embodiment, an Internet eco system includes a data posting platform securely accessible over the Internet to post personal, confidential and business data for conducting informational and transactional transactions for compensation. In another embodiment, the Internet eco system enables data providers to earn monetary compensation, system credits compensation or barter based compensation. In another embodiment, the Internet eco system enables data posting based upon freeform, system forms, keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context logic; such data can be searched and retrieved based upon keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context based search criteria. In yet another embodiment, the Internet eco system provides methods for authentication, authorization, accounting, data indexing, data classification, heuristics, activity metering, fraud detection and prevention, user identification, verification and dispute resolution, providing feedback, payments and systems credit settlement, providing virtual agent capabilities and third party interfacing capabilities and for providing interfaces to search logic. In yet another embodiment of the Internet eco system provides methods for data providers and data consumers to engage in and to consummate social networking based transactions.