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Web Data Mining-Based Personalized Recommendation System

  • Shengjiao Xu
  • Tinggui Chen
Conference paper
  • 1.7k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 143)

Abstract

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.

Keywords

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

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References

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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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