PVA: A self-adaptive personal view agent

被引：27

作者：

Chen, CC ^{[1
]}

Chen, MC

Sun, Y

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan

[2] Natl Taiwan Univ, Dept Informat Management, Taipei, Taiwan

来源：

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 2002年 / 18卷 / 2-3期

关键词：

machine learning; automatic classification; personalization; agent; WWW;

D O I：

10.1023/A:1013629527840

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：173 / 194

页数：22

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