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Context Based User Profile for Personalization in Ubiquitous Computing Environments  

Moon, Ae-Kyung (한국전자통신연구원 융합기술연구부문 서비스융합연구팀)
Kim, Hyung-Hwan (한국전자통신연구원 융합기술연구부문 서비스융합연구팀)
Park, Ju-Young (한국전자통신연구원 융합기술연구부문 서비스융합연구팀)
Choi, Young-Il (한국전자통신연구원 융합기술연구부문 서비스융합연구팀)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.5B, 2009 , pp. 542-551 More about this Journal
Abstract
We proposed the context based user profile which is aware of its user's situation and based on user's situation it recommends personalized services. The user profile which consists of (context, service) pair can be acquired by the context and the service usage of a user; it then can be used to recommend personalized services for the user. In this paper, we show how they can be evolved without previously known user information so that not to violate privacy during the learning phase; in the result our user profile can be applied to any new environment without any modification to model only except context profiles. Using context-awareness based user profile, the service usage pattern of a user can be learned by the union of contexts and the preferred services can be recommended by the current environments. Finally, we evaluate the precision of proposed approach using simulation with data sets of UCI depository and Weka tool-kit.
Keywords
Ubiquitous Computing; Context-aware; Sensor; Recommendation System;
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