期刊文献+

一种混合型的协同过滤信息推送方法 被引量:4

A Mixed Method of Collaborative Information Filtering
原文传递
导出
摘要 随着互联网上信息的迅速增长,信息过滤技术得到越来越广泛的应用.本文论述了内容过滤和协同过滤两种信息过滤技术优点与存在问题,结合基于用户推荐和基于信息项推荐两种信息推送技术的特点,提出一种混合型的协同过滤信息推送方法。 As the rapidly growing information on Web, information filtering techniques have been more and more widely used. This paper dissertates the virtue and the disadvantage of the two kinds of techniques: content-based filtering and collaborative filtering. Combined with the two methods of collaborative filtering of user-based and term-based, we provide a mixed method of collaborative information filtering .
出处 《情报科学》 CSSCI 北大核心 2009年第2期293-296,共4页 Information Science
基金 国家自然科学基金资助项目(70571087)
关键词 信息过滤 信息检索 协同过滤 information filtering information retrieval collaborative filtering
  • 相关文献

参考文献9

二级参考文献51

  • 1[3]Claypool M,Brown D,Phong Le. Inferring User Interest[J].IEEE Internet Computing,2001 ;5(6) :32~39
  • 2[4]Hendler. Agents and the Semantic Web[J].IEEE Intelligent Systems,2001:16(2) :33~36
  • 3[1]Shapira B,Shoval P,Hanani U.Stereotypes in Information filtering systems[J].Information Processing and Management, 1997; 33 (3): 273~287
  • 4[2]Shapira B,Shoval P,Hanani U.Experimentation with an Information Filteringsystem that combines cognitive and sociological filtering intergrated with user stereotypes[J].Decision Support Systems, 1999;27:5~24
  • 5Brccsc J, Hcchcrman D, Kadic C. Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI'98). 1998.43~52.
  • 6Goldberg D, Nichols D, Oki BM, Terry D. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 1992,35(12):61~70.
  • 7Resnick P, lacovou N, Suchak M, Bergstrom P, Riedl J. Grouplens: An open architecture for collaborative filtering of netnews. In:Proceedings of the ACM CSCW'94 Conference on Computer-Supported Cooperative Work. 1994. 175~186.
  • 8Shardanand U, Mats P. Social information filtering: Algorithms for automating "Word of Mouth". In: Proceedings of the ACM CHI'95 Conference on Human Factors in Computing Systems. 1995. 210~217.
  • 9Hill W, Stead L, Rosenstein M, Furnas G. Recommending and evaluating choices in a virtual community of use. In: Proceedings of the CHI'95. 1995. 194~201.
  • 10Sarwar B, Karypis G, Konstan J, Riedl J. Item-Based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International World Wide Web Conference. 2001. 285~295.

共引文献637

同被引文献40

  • 1黄晓斌,夏明春,叶楚璇.数字图书馆信息过滤系统初探[J].现代图书情报技术,2004(6):6-10. 被引量:9
  • 2刘宁.网络党建:党建方式的现代化[J].党政干部论坛,2001(11):18-19. 被引量:6
  • 3李世明,赵恒永,李世友.专题搜索引擎中信息过滤的研究与实现[J].计算机工程与设计,2006,27(8):1392-1394. 被引量:10
  • 4G.Salton,A.Wong,C.S.Yang,A vector space model for automatic indexing, Communications of the ACM,v. 18 n.l 1,1975,(11):615-620.
  • 5中国互联网络信息中心.第35次中国互联网络发展状况统计报告[EB/OL].[2015—02—03].http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201502/t20150203—51634.htm.
  • 6Daniel Memmi. InformatiOn Overload And Visual Institution [ J ]. AI & SOCIETY,2014,29 ( 1 ) :75-83.
  • 7Eoin Whelan , Robin Teiglando Transactive Memory Systems As A Collective Filter For Mitigating Information Overload In Digit- ally Enabled Organizational Groups[ J ]. Information and Organi- zation ,2013,23 ( 3 ) : 177 - 197.
  • 8Paul Resnick,Hal R Varian. Recommender systems[ J ]. Commu- nications of the ACM, 1997(3) :56-58.
  • 9Cheng-Che Lu,Vincent S Tseng. A Novel Method For Personal- ized Music Recommendation [ J ]. Expert Syst. Appl, 2009,36 (6) :10035-10044.
  • 10Ana Bel6n Barragfms-Martfnez, Enrique Costa-Montenegro, Juan C. Burguillo,et al. A Hybrid Content-Based And Item-Based Collaborative F'fltering Approach To Recommend TV Programs Enhanced With Singular Value Decomposition [ J ]. Information Sciences ,2010,180 (22) :4290-4311.

引证文献4

二级引证文献36

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