98 results about "Context property" patented technology

The present invention provides a method, system, and computer program product for defining calendar events for users of electronic calendaring systems and using those calendar events to customize information pertaining to the user. A multi-level hierarchy of calendar events is defined, where a top level of the hierarchy is used for context events which have a relatively long duration and a lower level of the hierarchy is used for specific events which occur during context events. The calendar user may specify attribute values for attributes of context events and / or specific events, such as how the user can be reached when that event is active; whether, and how often, the user checks his e-mail or voice mail when that event is active; etc. Attribute values are hierarchically coalesced, with specific event attribute value taking precedence over the values of corresponding context attributes. Overrides may be provided for the context and specific event values as well, enabling a user to fine-tune his preferences. Use of the present invention enables other persons trying to contact a calendar owner to be informed of the calendar owner's status for the applicable date and time, as well as information such as when the calendar owner will next be available or how he can be reached in the interim, without requiring the calendar owner to manually change configuration settings of his e-mail or greetings of his voice mail, etc. The techniques disclosed herein are also applicable to other scenarios such as instant messaging and project management.

A method and system for implementing on-line financial institution services via a single physical and logical platform deploys global online banking applications in an environment in which the applications are built from a single source base and adapted to various business rules and languages associated with different regions, countries and businesses. Separate web apps are created for each individual business according to contextual attributes, and application servers running the context dependent web apps provide the interface between customers and banking functionality. The platform relies in part on reuse of appropriate components to achieve integration, as well as sharing of core services. As a result of the independent nature of business specific components, each business may require different versions of application software and may update or implement new components without affecting existing business components.

A run-time executive of an object management system for managing execution of software components in an object execution environment uses a component context object to store intrinsic context properties related to an associated component. The run-time executive maintains an implicit association of the component context object with the application component. For example, the context properties can include a client id, an activity id, and a transaction reference. The component context object also provides an interface accessible to the associated component, with member functions for use in transaction processing, in creating additional other application components inheriting component's context properties, and in access control based on abstract user classes (roles).

Messaging Service Plus Context Data. A message of a specified mobile device communications protocol is parsed. The message is analyzed to identify a message data. A signal associated with the message is evaluated to determine a context data. The context data provides a contextual attribute of the message. The message data is algorithmically associated with the context data. Further, the other message includes the message data and the context data. A context enhancement data is determined to enrich a meaning of the context data. The context enhancement data is acquired from a database. The other message may be generated. The other message includes the message data, the context data and context enhancement data.

A run-time executive of an object management system for managing execution of software components in an object execution environment uses a component context object to store intrinsic context properties related to an associated component. The run-time executive maintains an implicit association of the component context object with the application component. For example, the context properties can include a client id, an activity id, and a transaction reference. The component context object also provides an interface accessible to the associated component, with member functions for use in transaction processing, in creating additional other application components inheriting component's context properties, and in access control based on abstract user classes (roles).

The method generates web page attributes information that a web content manager uses to determine relative priority for each web page element of the web page. The method determines those web page elements residing within or outside of a web page viewable area. The method provides for user input into web page element prioritization by type and further provides for modification to web page attribute information. The web content manager generates prioritization of each web page element from categories of input for web page content rendering prioritization. The categories of input may include resource attributes, context attributes, user preferences, and prioritization rules. The method may normalize web page element prioritization information and determines bandwidth allocation for each web page element. The method retrieves and renders each visible web page element consistent with the bandwidth allocation for each web page element during display.

Techniques are disclosed for creating, modifying, categorizing, modeling, distributing, purchasing, selling, and otherwise using themes and theme-related information. Themes can represent various types of contextual aspects or situations, and can model high-level concepts of activities or states not reflected in individual contextual attributes that each model a single aspect of the state of a user, their computing device, the surrounding physical environment, and / or the current cyber-environment. Such themes specify inter-relationships among a set of contextual attributes, and can have associated theme-related information such as theme-specific attributes, theme layouts used to present information and functionality, CSes that provide theme attribute values, and CCs that process theme information. Disclosed techniques can identify one or more themes that currently match the modeled context, select one of the matching themes as a current theme, and provide an appropriate response (e.g., by presenting appropriate information and / or providing appropriate functionality) based on the current theme.

A system and method for classifying user context in a customer self service system that performs resource search and selection and includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The classifying system comprises a computing device for receiving a user query and a context vector comprising data associating an interaction state with the user and, processing the query and context vector against data included in the context attribute database and context attribute function database for predicting a particular user context. The classifier populates the user context vector with context parameters specifying a user interaction state for use in a subsequent resource search. The result of this invention is an ability to relieve the user of the nonproductive work of describing their context and the ability to improve the search value by including criteria derived from both data and behaviors in the general population which may be unknown to the user. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.

Various embodiments of the present invention are directed to a fleet management system configured for capturing and evaluating vehicle telematics data, such as data captured from one or more vehicle telematics devices indicative of one or more vehicle dynamics, and service data, such as data captured from one or more portable data acquisition devices indicative of one or more service dynamics. In certain embodiments, the fleet management system is configured to associate captured vehicle telematics data with captured service data based on the contextual attributes of each, such as the time, date, and location of data capture. By synching the vehicle telematics data to the service data, the operational data can be uniquely assessed for various operational efficiencies.

The present invention provides a comprehensive method for automatically and unobtrusively analyzing the in-store behavior of people visiting a physical space using a multi-modal fusion based on multiple types of sensors. The types of sensors employed may include cameras for capturing a plurality of images and mobile signal sensors for capturing a plurality of Wi-Fi signals. The present invention integrates the plurality of input sensor measurements to reliably and persistently track the people's physical attributes and detect the people's interactions with retail elements. The physical and contextual attributes collected from the processed shopper tracks includes the motion dynamics changes triggered by an implicit and explicit interaction to a retail element, comprising the behavior information for the trip of the people. The present invention integrates point-of-sale transaction data with the shopper behavior by finding and associating the transaction data that corresponds to a shopper trajectory and fusing them to generate a complete an intermediate representation of a shopper trip data, called a TripVector. The shopper behavior analyses are carried out based on the extracted TripVector. The analyzed behavior information for the shopper trips yields exemplary behavior analysis comprising map generation as visualization of the behavior, quantitative shopper metric derivation in multiple scales (e.g., store-wide and category-level) including path-to-purchase shopper metrics (e.g., traffic distribution, shopping action distribution, buying action distribution, conversion funnel), category dynamics (e.g., dominant path, category correlation, category sequence). The present invention includes a set of derived methods for different sensor configurations.

A system and method for clustering user contexts in a customer self service system that performs resource search and selection. The customer self service system includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The context clustering system receives user interaction data from among a database of user interaction records and a distance metric for associating closeness of the user interaction data and clusters the user interaction data according to the distance metric to determine new user contexts and associated attributes for use in subsequent resource searches initiated by users in the system. Improved user query definition and resource lookup results from the new determined user context attributes. The user interaction data comprises past and present user queries, system responses to user queries, raw context information including: one or more of static, historical context, transient context, organizational context, community context, and environment context, and, other raw context associated with the user and dependent upon that user's interaction state and customer query domain.

The present invention relates to a system, method and computer program for creating, visualizing and manipulating a data structure using an intuitive and interactive graphical interface. It is operable to display a data structure and enable users to interact with the data structure by means of a user interface. The data structure includes data entities and relationships between the data entities. One or more user context properties are associable with the data entities. The user interface is populated with data entities from the data structure by enabling the users to associate visual properties of the user interface with the user context associable properties of the data structure. This enables the users to interact with the data structure by means of the user interface.

Systems and methods for providing contextual information about a place within a range of a wireless signal beacon are provided. A reference database of wireless beacons stores attributes associated with wireless beacons. Wireless-enabled devices and / or server systems receive information identifying wireless beacons in range of the wireless-enabled devices and determine a received signal strength indication of the wireless beacons. The wireless-enabled devices and / or server systems then retrieve from the reference database extended attributes that are associated with the wireless beacons and determine at least one associated contextual attribute about the place within range of the wireless beacons.

A method and mechanism are provided for accessing data. Values are stored for a set of context attributes associated with a session between a database user and a database server. The database system includes an attribute setting mechanism that selectively restricts access to the set of context attributes based on a policy. During the session, the database server executes a query that contains a reference to one or more of the context attributes. For example, the query may contain a predicate that requires a comparison between a context attribute value and a constant. The database server processes the query based on current values of the one or more of the context attributes referenced in the query. A mechanism is also provided for dynamically attaching predicates to queries, where the predicates are attached based on a policy. For example, the database system detects that a query is issued against a database object. Prior to executing the query, a policy function associated with the database object is invoked. The policy function creates a modified query by selectively adding zero or more predicates to the query based on a policy associated with the database object. The modified query is then executed.

A method and a system for contextually managing and executing a change in security behavior of a target user are provided. The system extracts multiple context attributes including activity telemetry, skill, etc., from multiple external applications. The system dynamically generates one or more security behavioral models for each user based on behavior modeling criteria. The system dynamically generates a security behavior score for each user by scoring a selection of the context attributes from their security behavioral models. The system dynamically generates targeted, contextual control elements specific to a target user identified from among the users using the security behavioral models, the security behavior score, and one or more context libraries. The system dynamically renders one or more of the targeted, contextual control elements on a user device of the target user through one or more delivery channels for executing a change in the security behavior of the target user.

The invention discloses a recommendation system optimization method with information of a user and an item and a context attribute integrated. According to the method, the information of the user, the item and the context attribute is integrated in a matrix decomposition model, and recommendation accuracy is improved in a personalized recommendation system. The recommendation system optimization method with the information of the user, the item and the context attribute integrated is characterized in that different influences of the information of the user, the item and the context attribute on overall scores, user interests and item scores are considered, and is applied to calculation of an original matrix decomposition model. The influences of the user, the item and the context attribute on the scores are considered at the same time, and therefore the recommendation accuracy is obviously higher than that of the rectangular decomposition model which only adopts user program two-dimensional score matrix information.

Systems and methods of annotating aggregated on-line content within a defined context are presented. A context composer can define a context by defining one or more context attributes including network addresses of remote content and an arrangement of the content according to a desired presentation. The composer, or other viewer of a context, can utilize an annotation interface to submit annotations to the context. The annotations can be bound to the arrangement of the context via the annotation interface and integrated into the defined context. One or more viewers can observe the annotations, possibly as the annotations are made in real-time.

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of both VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. One of these service engines is a load balancer. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and / or process events on the machines. The context engine then provides the contextual attributes to the load balancer, which, in turn, uses these contextual attributes to identify load-balancing rules that specify how the data messages should be distributed in a load-balanced manner.

The embodiment of the invention discloses a voice control method, device and terminal. The method includes the steps of receiving a voice command of a user to a first application; matching the voice command with voice UI resources of the first application to obtain an action command corresponding to the voice command, wherein the voice UI resources comprise voice attribute information, action attribute information and context attribute information of each module of the first application; executing operations corresponding to the action command on the first application. The voice control method, device and terminal can expand the processing capacity of a voice assistant frame in a terminal and achieve various third-party applications of voice operation, and therefore the voice control method, device and terminal can meet the demands of the user for installing applications and using voice interaction at any time and can improve usage experience of the terminal user.

Disclosed is a method and system of providing user context-based services over computer networks, using mechanisms for collecting and specifying one or more user context elements, each element representing a context associated with the current buyer state and having context attributes and attribute values associated therewith, mechanisms for collecting affective (emotive) data to inform the user context, and also an interactive graphical view to gain insight into available services for assisting in understanding available service information and making decisions on purchasing.

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and / or process events on the machines. The context engine then provides the contextual attributes to the service engines, which, in turn, use these contextual attributes to identify service rules for processing.

Disclosed is a method and system of providing user context-based services over computer networks, using mechanisms for collecting and specifying one or more user context elements, each element representing a context associated with the current buyer state and having context attributes and attribute values associated therewith, mechanisms for collecting affective (emotive) data to inform the user context, and also an interactive graphical view to gain insight into available services for assisting in understanding available service information and making decisions on purchasing.

Some embodiments provide a context engine that supplies contextual-attributes to several context-based service engines on its host computer. Different embodiments use different types of context-based service engines. For instance, in some embodiments, the attribute-based service engines include an encryption engine that performs context-based encryption or decryption operations to encrypt data messages from the machines, or to decrypt data messages received for the machines.

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. One of these service engines is a firewall engine. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and / or process events on the machines. The context engine then provides the contextual attributes to the firewall engine, which, in turn, use these contextual attributes to identify firewall rules to enforce.

The invention provides a method for extracting the profile of a building from a satellite remote sensing image, which comprises the following steps of: integrating the full-color wave band image and the multi-spectrum wave band image of the same area and generating a multi-spectrum integrated image; carrying out contrast enhancement processing on the integrated image; carrying out image division on the integrated image and constructing an image object; carrying out supervised classification on the image object based on the spectral characteristic to obtain a waterproof land type distribution map; and constructing a knowledge rule aiming at the waterproof geographic distribution map by utilizing a fuzzy logic classifier and combining the characteristics of the spectrum attribute, the space attribute, the texture attribute and the context attribute, classifying according to the knowledge rule and extracting the roof type of the building. The invention can realize the extraction of the profile of the building aiming at an irregular or complicated city proper scene, does not need auxiliary data and does not need to subdivide other waterproof land types except for the roof type in classification, the processing procedure has practicability and flexibility, and the extraction accuracy is high.

Some embodiments of the invention provide a novel architecture for capturing contextual attributes on host computers that execute one or more machines, and for consuming the captured contextual attributes to perform services on the host computers. The machines are virtual machines (VMs) in some embodiments, containers in other embodiments, or a mix of VMs and containers in still other embodiments. Some embodiments execute a guest-introspection (GI) agent on each machine from which contextual attributes need to be captured. In addition to executing one or more machines on each host computer, these embodiments also execute a context engine and one or more attribute-based service engines on each host computer. One of these service engines is a firewall engine. Through the GI agents of the machines on a host, the context engine of that host in some embodiments collects contextual attributes associated with network events and / or process events on the machines. The context engine then provides the contextual attributes to the firewall engine, which, in turn, use these contextual attributes to identify firewall rules to enforce.