Web Data Mining-Based Personalized Recommendation System

  • Shengjiao Xu
  • Tinggui Chen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 143)


The emergence of personalized recommendation system provides an a powerful tool to solve information overloading. We use web data mining principles (fuzzy clustering algorithm) proposes a personalized recommendation system architecture. It contains user fuzzy clustering and web pages fuzzy clustering. And we respectively describe the implementation processes.


Web fuzzy clustering Web user clustering Web page clustering Data mining personalized Recommendation 


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  1. 1.
    Toby, S.: Programming Collective Intelligence. Electronic Industry Press, Beijing (2009)Google Scholar
  2. 2.
    Yu, X.: Distributed Data Mining-Based E-Commerce Recommendation System. Computer Systems & Applications 18(11), 33–37 (2009)Google Scholar
  3. 3.
    Bo, M.: Computer Decision Support System. Wuhan University Press, Wuhan (2001)Google Scholar
  4. 4.
    Hinneburg, A., Keim, D.A.: A general approach clustering in large databases with noise. Knowledge and Information Systems 5, 387–415 (2003)CrossRefGoogle Scholar
  5. 5.
    Weng, S.S., Liu, M.J.: Feature Based recommendations for one-to-one marketing. Expert Systems with Applications 26, 493–508 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shengjiao Xu
    • 1
  • Tinggui Chen
    • 1
  1. 1.College of Computer Science & Information EngineeringZhejiang Gongshang UniversityHangzhouChina

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