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网络信息过滤技术研究 被引量:5

Research on the Information Filtering Technology of Internet
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摘要 面对互联网上不断出现的信息流,信息过滤能够根据用户自己的需求,通过过滤机制来主动选择所需的信息,有效解决了信息迷航的问题。本文首先就信息过滤当前研究状况、意义做了一个分析,然后重点就信息过滤关键技术匹配算法做了一个深入探讨,以期能廓清人们的认识。 Facing more and more information on internet, information filtering can solve the problem of infor- marion lost according to user's demand. This paper analyzed the situation and the meaning of text filtering model. Then some viewpoints about information fihering techniques were given.
出处 《现代情报》 北大核心 2008年第6期82-84,共3页 Journal of Modern Information
关键词 信息过滤 布尔模型 向量空间模型 概率模型 information filtering boolean model vector space model probability model
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  • 1高文 刘峰 等.数字图书馆--原理与技术实现[M].清华大学出版社,..
  • 2[1]Guarino N.Formal Ontology and Information Systems.In Guarino N(ed.):Formal Ontology in Information Systems.Proc.of FOIS'98, Trento,Italy,1998-06-08
  • 3[2]Gruber T R.Toward Principles for the Design of Ontologies Used for Knowledge Sharing.Int.Journal of Human and Computer Studies,1995:907-928
  • 4[3]Leary D O.Enterprise Knowledge Management.IEEE Computer,1998,13(3):54-61
  • 5[4]Liao M,Hinkelmann K,Abecker A,et al.A Competence Knowledge Base System as Part of the Organizational Memory.in F.Puppe (ed.) XPS99,5th Biannual German Conf.on Knowledge Based System,Springer-verlag,LNAI 1570,Wuerzburg,Germany,1999:125-137
  • 6[5]Abecker A,Bernardi A,Hinkelmann K,et al.Techniques for Organizational Memory Information Systems.DFKI Document D-98-02,1998-02
  • 7[6]Liao M,Abecker A,Bernrdi A,et al.Ontologies for Knowledge Retrieval in Organization Memories.In Workshop on Learning Software Organization in SEKE'99,Kaiserslautern,Germany,1999
  • 8Berners -- Lee et al. The Semantic Web, Scientific American,May 2001.
  • 9Perschner, A. Ontology based personalized search[MS. Thesis].Lawrence, KS: University of Kansas, 1999:4--17.
  • 10Prem Melville. Content--boosted collaborative filtering for improved recommendations. In Proceedings of AAAI- 2002,Edmonton, Canada, July 2002:187-192.

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