International Conference on Computers, Communications and Systems (ICCCS) 2008, pp.1-4
Language
English
Type
Conference Paper
Abstract
In this paper, we propose a context aware framework for personalized services by selecting the service and its provision time which have most satisfaction degree of a user among service candidates. The preference values of the attributes of services are updated by using the contexts of a user as feedback of the provided service and the user’s habits and characteristics of use of the service like the times, periods and frequency of the use of service. The satisfaction degree of a service is a weighted sum of preference values of its attributes. Because the preference value is a function of time, the service can be provided when any satisfaction degree of a service candidate is above a threshold value. The proposed context aware framework can provide some components like context providers to deal with contexts in organizing the proposed personalization of a service using the contexts easily. That is, the proposed context aware framework can give service providers more flexibility of implementation in a personalized service provision using the contexts of the user and the user’s habits of use of the service. To show the feasibility of the proposed context aware framework, we apply the context aware framework to the music recommendation service.
KSP Keywords
Context aware, Personalized service, Satisfaction Degree, Service Provider, Service Provision, Threshold Value, music recommendation, weighted sum
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