PVA: a self-adaptive personal view agent system

Authors:
Chien Chin Chen;Meng Chang Chen;Yeali Sun
Affiliations:
Institute of Information Science, Academia Sinica, Nankang Taipei, Taiwan;Institute of Information Science, Academia Sinica, Nankang Taipei, Taiwan;National Taiwan University, Taipei, Taiwan
Venue:
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2001

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Abstract

In this paper, we present PVA, an adaptive personal view information agent system to track, learn and manage, user's interests in Internet documents. When user's interests change, PVA, in not only the contents, but also in the structure of user profile, is modified to adapt to the changes. Experimental results show that modulating the structure of user profile does increase the accuracy of personalization systems.