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社会化标签系统中基于组合策略的个性化知识推荐研究 被引量:18

Study on Personalized Knowledge Recommendation Based on Hybrid Strategy in Tag System
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摘要 分析了基于社会化标签的个性化知识推荐研究的现状与不足,结合组合推荐中的变换策略和混合策略,建立了社会化标签系统中基于组合策略的个性化知识推荐系统架构,探讨了组合推荐所涉及的社会化标签—评价矩阵、社会化标签网络、知识互动型社会网络的相关问题。 Firstly,this paper summarizes the research of personalized knowledge recommendation based on tag and analyzes the limitations of exiting research,then proposes a personalized knowledge recommendation system architecture based on hybrid recommendation in tag system according the switching strategy and mixed strategy,finally discusses the related problems of tag-rate matrix,tag network and knowledge interactive social network.
出处 《情报科学》 CSSCI 北大核心 2011年第7期1093-1097,共5页 Information Science
基金 中国博士后科学基金面上资助项目(20100471156) 教育部人文社会科学青年基金项目(09YJC870008) 国家社会科学基金项目(10CTQ025)
关键词 社会化标签 个性化 知识推荐 组合推荐 tag personalization knowledge recommendation hybrid recommendation
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参考文献12

  • 1Mathes A. Folksonomyies-cooperative classification and communication through shared metadata[EB/OL].http://www.adammathes.com/acacemic/computer-mediated-commnication/ floksonomies.html,2010-04-21.
  • 2Ji A T et al. Collaborative Tagging in Recommender Systems [C]. In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence. Berlin : Springer-Verlag, 2007.
  • 3Begelman G, Keller P, Smadja F. Automated Tag Clustering: Improving search and exploration in the tag space [EB/OL]. http://eiteseerx.ist.psu, edu/viewdoc/download?doi= 10.1.1.120. 5736&rep=repl&type=pdf, 2010-03-19.
  • 4Baldassarri A, Cattuto C, Loreto V, et al. Ranking and commu- nity detection in undirected networks [EB/OL].http://www. tago-ra-proj ect:eu/wp-content/2007/04/talk_servedio_folkra nk.pdf, 2010-03-12.
  • 5Shiratsuchi K, Yoshii S, Furukawa M. Finding unknown interests utilizing the wisdom of crowds in a social bookmark service[C]. In Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology. Washington : IEEE Computer Society, 2006.
  • 6Clauset A. Finding local community structure in networks [J]. Physical Review E, 2005,(72) : 26,132.
  • 7Burke, R. Hybrid Recommender Systems:?Survey and Experiments [J]. User Modeling and User-Adapted Interaction, 2002, 12(4) : 331-370.
  • 8Szomszor M, CattutoC, Alani H, et al. Folksonomies, the Semantic Web, and Movie Recommendation[EB/OL]. http:// www.kde.cs.uni-kassel.de/ws/eswc2007/proc/Folksonomies. pdf,2010-01-12.
  • 9Shepitsen A, Gemmell J, Mobasher B, et al. Personalized Recommendation in social Tagging Systems Using Hierarchical Clustering [C]. In Proceedings of the 2008 ACM conference on Recommender systems, New York : ACM, 2008.
  • 10赵鹏,蔡庆生,王清毅.交联网络中的可重叠社团结构分析算法[J].华南理工大学学报(自然科学版),2008,36(5):19-23. 被引量:5

二级参考文献20

  • 1Begelman G, Keller P, Smadja F. Automated tag clustering: Improving search and exploration in the tag space [ C ]. In Proceedings of the Collaborative Web Tagging Workshop at WWW'06, 2006.
  • 2Kome S H. Hierarchical subject relationships in folksonomies [ D]. North Carolina: the University of North Carolina, 2005.
  • 3伊凡艾琳达.社会网络分析在信息科学中的应用和发展[OL].[2009-05-30].http://blog.zjol.com.cn/1185/viewspace-243513.
  • 4Wasserman S, Faust K. Social network analysis: Methods and applications [ M ]. Cambridge : Cambridge University Press, 1994.
  • 5Fan Bei, Liu Lu, Li Ming, et al. Knowledge recommendation based on social network theory [ C ]. In 2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises, 2008 : 322 - 324.
  • 6Shepitsen A, Gemmell J, Mobasher B, et al. Personalized recommendation in social tagging systems using hierarchical clustering [ C ]. In Proceedings of the 2008 ACM conference on Recommender systems, 2008 : 259 - 266.
  • 7Kernighan B W, Lin S. A efficient heuristic procedure for partitioning graphs [ J ]. Bell System Technical Journal, 1970,49 ( 2 ) : 291 - 307.
  • 8Fiedler M. Algebraic connectivity of graphs [ J ]. Czech Math J, 1973,23 ( 98 ) : 298- 305.
  • 9Pothen A, Simon H, Liou K-P. Partitioning sparse matrices with eigenvectors of graphs [ J ]. SIAM J Matrix Anal Appl, 1990,11 (3) :430-452.
  • 10Newman M E J. Fast algorithm for detecting community structure in networks [ J ]. Phys Rev E, 2004,69 ( 6 ) : 066133.

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