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CtoC电子商务站点中的Web个性化推荐技术 被引量:2

Web Personalization Recommendation Technologies in CtoC E-commerce Websites
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摘要 分析CtoC电子商务平台中的用户行为特征,提出在此类站点中实施Web个性化推荐技术的基本原则和特点,并指出该种技术的三个明显特点。最后,结合Web个性化推荐技术的三种主要流程,对CtoC电子商务平台实施Web个性化推荐技术的方法作详细说明。 Based on analyzing the characteristics of users' behavior in CtoC E-commerce websites, this paper proposes the basic principle and characteristics of Web personalization recommendation technologies in these Websites. At last, this paper introduces three main processes of Web personalization recommendation, such as data preproeessing, obtaining the personalized contents, recommending these contents, and explains the implementation of Web personalization recommendation technologies in CtoC E-commerce Websites in detail.
作者 李树青
出处 《图书情报工作》 CSSCI 北大核心 2009年第8期134-137,80,共5页 Library and Information Service
基金 2007年江苏省高校自然科学基础研究项目"基于Web个性化推荐服务的CtoC电子商务平台框架"(项目编号:07KJD520074)研究成果之一
关键词 CTOC WEB站点 个性化 推荐技术 CtoC Website personalization recommendation technologies
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  • 1王继民,陈翀,彭波.大规模中文搜索引擎的用户日志分析[J].华南理工大学学报(自然科学版),2004,32(z1):1-5. 被引量:24
  • 2Hatzivassiloglou V, Klavans J L, Holcombe M L, et al.Simfinder: A flexible clustering tool for surmnarization. In: Proceedings of the NAACI, 2001 Workshop on Automatic Surrunarization, Pittsburgh, PA, 2001, 41-49 .
  • 3Jain A K,Dubes R C. Algorithms for clustering data. Englewood Cliffs NJ, USA: Prentice Hall, 1988.
  • 4Sneath P H, Sokal R R. Numerical Taxonomy. London, UK:Freeman. 1973.
  • 5King B. Step-wise clustering procedures. Journal of the Amercian Statistical Association , 1967, 69(8) :86-101.
  • 6Guha S, Rastogi R, Shim K. CURE: An efficient clustering algorithm for large databases. Information Systems, 2001, 26( 1 ) : 35-58.
  • 7Guha S, Rastogi R, Shim K. ROCK: a robust clustering algorithm for categorical attributes. In : Proceedings of the 15th International Cotfference on Data Engineering. Sydney: IEEE Computer Society Press, 1999. 512-521.
  • 8Karypis G, Han E H, Kumar V. Chameleon: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer, 1999, 32(8) :68-75.
  • 9Han E H, Karypis G,Kumar V, et al. Clustering based on association rule hypergraphs. In: 1997 SIG-MOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Tucson, Arizona, USA, 1997. 9-13.
  • 10MacQueen J B. Some methods for classification and analysis of multivariate observations. In : Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley: University of California Press, 1967. 281-297.

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