摘要
文章描述了信息过滤的作用,并介绍了一个基于Agent的万维网文档信息过滤系统。文中提出了个性化网络信息过滤Agent的结构及其实现方案,并讨论了用相关反馈评价机制更新用户兴趣模型的问题,建议用决策树从用户分类的文档集中学习用户的信息兴趣。
This paper describes the roles of information filtering and introduces an agent-based information filtering system for Web documents.It presents the architecture of the personalized Web information filtering agent and its imple-ment scheme.It discusses the problem of relevant feedback evaluation for updating the user interest profile.It proposes to use a decision tree to learn user information interests from sets of documents that users have classified.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第3期158-160,共3页
Computer Engineering and Applications
基金
广东省自然科学基金资助项目(编号:970239)