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96 results about "Context property" patented technology

Calendar events and calendar-driven application technique

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.
Owner:IBM CORP

Customer self service subsystem for classifying user contexts

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.
Owner:IBM CORP

Method and system for in-store shopper behavior analysis with multi-modal sensor fusion

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.
Owner:VIDEOMINING CORP

Customer self service subsystem for context cluster discovery and validation

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.
Owner:IBM CORP

Method for extracting profile of building from satellite remote sensing image

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.
Owner:BEIJING JIAOTONG UNIV
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