A Web Document Personalization User Model and System

نویسندگان

  • Chien Chin Chen
  • Meng Chang Chen
  • Yeali Sun
چکیده

In this paper, we present PVA, an adaptive personal view information agent system to track, learn and manage user interests in the Internet documents. PVA consists of three parts: proxy, personal view constructor and personal view maintainer. Proxy logs user’s activities and extracts user interests without user intervention. Personal view constructor mines user interests and maps them to a class hierarchy (i.e. personal view). Personal view maintainer synchronizes user interests and personal view periodically. When user interests change, PVA, not only the contents but also the structure of user profile, is modified to adapt the changes. Experimental results show that modulating the structure of user profile does increase the accuracy of personalization systems.

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تاریخ انتشار 2001