期刊文献+

个性化网上信息过滤智能体的实现 被引量:31

THE IMPLEMENTATION OF A PERSONALIZED INTELLIGENT AGENT FOR INFORMATION FILTERING
下载PDF
导出
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
关键词 智能体 信息过滤 神经网络 信息查询 INTERNET网 intelligent agent information filtering vector space model BP neural network
  • 相关文献

参考文献7

  • 1[1] Terry R. Payne, Peter Edwards, Claire L. Green. Experience
  • 2[2] B.D. Sheth. A Learning Approach to Personalized Information
  • 3[3] G. Salton, M.J. McGill. Introduction to Modern Information
  • 4[4] P. Clark, T. Niblett. The CN2 Induction Algorithm[J]. Machine Learning, 1989,(3):261-283.
  • 5[5] T.R. Payne. P. Edwards. Interface Agents that Learn: An Investigation of Learning Issues in a Mail Agent Interface[J]. Applied Artificial Intelligence, 1997,11(1):1-32.
  • 6[6] Oren Etzioni. Daniel S. Weld. Intelligent Agents on the Internet: Fact, Fiction, and Forecast[J]. IEEE Expert, 1995, 10(4): 44-49.
  • 7[7] Katia Sycara, Anandeep Pannu, Mike Washington, et al..Distributed Intelligent Agents[J]. IEEE Expert, 1996,11(5):36-46.

同被引文献186

引证文献31

二级引证文献237

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部