PVA: A Self-Adaptive Personal View Agent
Resource
Journal of Intelligent Information Systems 18 (2): 173-194
Journal
Journal of Intelligent Information Systems
Journal Volume
18
Journal Issue
2/3
Pages
173-194
Date Issued
2002
Date
2002
Author(s)
Abstract
In this paper, we present PVA, an adaptive personal view information agent system for tracking, learning and managing user interests in Internet documents. PVA consists of three parts: a proxy, personal view constructor, and personal view maintainer. The proxy logs the user's activities and extracts the user's interests without user intervention. The personal view constructor mines user interests and maps them to a class hierarchy (i.e., personal view). The personal view maintainer synchronizes user interests and the personal view periodically. When user interests change, in PVA, not only the contents, but also the structure of the user profile are modified to adapt to the changes. In addition, PVA considers the aging problem of user interests. The experimental results show that modulating the structure of the user profile increases the accuracy of a personalization system.
Type
journal article
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