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信息过滤研究 被引量:13

A Study on Information Filtering for the Digital Library
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摘要 提出了一种新的数字图书馆信息过滤方法 ,它具有三个显著的优点 :一是采用了混合信息过滤模型 ,克服了基于内容和协作过滤的不足 ;二是建立用户模板 ,解决了用户兴趣的获取问题 ;三是信息内容采用本体来组织 。 A new method of information filtering for the digital library is presented in this paper. The method has three outstanding merits: Firstly,it accommodates hybrid model of information filtering which conquer the disadvantages of content based and collaborative filtering; Secondly,Ontology-driven user profiles have been constructed in order to get user interests; Thirdly, information resources are organized with ontologies so as to reach the goal of semantically querying and high performance matching mechanisms.
作者 刘柏嵩
机构地区 宁波大学图书馆
出处 《现代图书情报技术》 CSSCI 北大核心 2003年第6期23-26,共4页 New Technology of Library and Information Service
基金 宁波市青年博士基金 ( 2 0 0 3 A62 0 0 2 )
关键词 数字图书馆 信息过滤 混合模式 用户模板文件 语义查询 信息匹配 Digital library Personalization Services Information filtering
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参考文献8

  • 1Berners -- Lee et al. The Semantic Web, Scientific American,May 2001. 被引量:1
  • 2Perschner, A. Ontology based personalized search[MS. Thesis].Lawrence, KS: University of Kansas, 1999:4--17. 被引量:1
  • 3Prem Melville. Content--boosted collaborative filtering for improved recommendations. In Proceedings of AAAI- 2002,Edmonton, Canada, July 2002:187-192. 被引量:1
  • 4Wu ,Y. H. et al. Enabling personalized recommendation on the web based user interests and behaviors. In proceedings of the 11th international workshop on research issues in data engineering,Heidelberg, GERMANY, April 2001:17-- 24. 被引量:1
  • 5Claypool, M. , Le et al. Implicit interest indicators. In Proceedings of the ACM intelligent user interfaces conference (IUI),Santa Fe, NM, USA, January 2001.14-17. 被引量:1
  • 6Andrew I. Schein et al. Methods and metrics for cold--start recommendations. In Proceedings the 25th annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 2002 . 37-- 46. 被引量:1
  • 7Middleton et al.Exploiting Synergy between Ontologies and Recommender Systems. In Proceedings Semantic Web Workshop of WWW2002, Hawaii, USA, May 2002:34--43. 被引量:1
  • 8OWL Web Ontology Language 1. 0 Reference, W3C Working Draft 12 November 2002, http://www, w3. org/TR/2002/WD--owl--ref--20021112/. 被引量:1

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