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网络信息过滤的方法与相关技术研究 被引量:32

Method and Relative Technologies on Network Information Filtering
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摘要 随着因特网的发展出现了所谓的“信息过载”问题,为了向用户提供个性化、实用性的信息,信息过滤技术应运而生。结合国内外已有的研究成果,本文从用户的信息需求与表示、文档的表示技术、匹配技术、信息反馈技术等四个方面探讨网络信息过滤的方法与技术以及存在的问题。 With the development of Internet the problem of information overloading appeared. In order to provide personalized and practical information to users, information filtering method is put forward at the historic moment. According to domestic and abroad achivement this article discusses network information filtering method and technology in four respects such as expressing user's information needs, text expressing method, information matching method and information feedback method, and existing problem is also proposed.
出处 《现代图书情报技术》 CSSCI 北大核心 2002年第3期48-50,共3页 New Technology of Library and Information Service
基金 国家自然科学基金项目(70073022)子课题之一
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  • 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.
  • 81,Belkin N J, Croft W B. Information filtering and information retrieval: two sides of the same coin. Communication of ACM, 1992,35(12):29~38
  • 92,Joachims T. Text categorization with support vector machine. Technical Report. LS VIII Number 23, German: University of Dortmund, 1997
  • 103,Pazzani M, Billsus D. Learning and revising user profiles: the identification of interesting web sites. Machine Learning, 1997,27(3):313~331

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