摘要
论述了一个Internet网上个性化信息过滤智能体的实现。它采用向量空间模型[3] 作为文档表示的基础 ,通过抽取用户浏览网页的特征 ,使用BP神经网络来学习和跟踪用户的兴趣 ,从而动态了解用户的浏览行为 ,并在用户查询时能有效地过滤出用户感兴趣的信息。
This paper discusses the implementation of a personalized intelligent agent that performs information filtering on Internet. The agent can follow user interests dynamically, and filter information to determine which is of interest to the user when he inquires. This is done by converting documents into their Vector Space Model and performing BP neural network to learn user interests.
出处
《计算机应用》
CSCD
2000年第3期26-29,共4页
journal of Computer Applications