Ontology Based User Profiling in Personalized Information Service Agent

Authors:
Jianguo Pan;Bofeng Zhang;Shufeng Wang;Gengfeng Wu;Daming Wei
Affiliations:
Shanghai University, Shanghai, 200072 China;Shanghai University, Shanghai, 200072 China;Shanghai University, Shanghai, 200072 China;Shanghai University, Shanghai, 200072 China;Shanghai University, Shanghai, 200072 China
Venue:
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Year:
2007

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Abstract

Personalized information service agents have emerged in the recent years to help users to cope with the increasing amount of information available on the Internet. The effectiveness of agents depends mainly on profile completeness and accuracy. In the existing agents, although the performance of these systems improves after learning a user profile, it is difficult to share user profile and adapt user profile to user inter- ests. In order to solve these problems in agents, we present ontology based user profiling methods. The approaches in user profiling, such as representation, acquisition, learning, adaptation and re-ranking, are discussed. Moreover, a personalized information ser- vice agent is designed based on these approaches, and the performance of agent is evaluated.