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Wuhan University Journal of Natural Sciences

, Volume 11, Issue 1, pp 243–247 | Cite as

BP network based users’ interest model in mining WWW Cache

  • Zhang Wei-feng
  • Xu Bao-wen
  • Zhang Xiao-fang
  • Cui Zi-feng
  • Zhou Xiao-yu
Web and Networking Technology
  • 28 Downloads

Abstract

By analyzing the WWW Cache model, we bring forward a user-interest description method based on the fuzzy theory and user-interest inferential relations based on BP (back propagation) neural network. By this method, the users' interest in the WWW cache can be described and the neural network of users' interest can be constructed by positive spread of interest and the negative spread of errors. This neural network can infer the users' interest. This model is not the simple extension of the simple interest model, but the round improvement of the model and its related algorithm.

Key words

WWW Internet Interest model neural network data mining 

CLC number

TP 311. 135. 4 

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Copyright information

© Springer 2006

Authors and Affiliations

  • Zhang Wei-feng
    • 1
    • 2
  • Xu Bao-wen
    • 2
    • 3
  • Zhang Xiao-fang
    • 2
    • 3
  • Cui Zi-feng
    • 2
    • 3
  • Zhou Xiao-yu
    • 2
    • 3
  1. 1.Department of Computer Science and TechnologyNanjing University of Posts and TelecommunicationsNanjing, JiangsuChina
  2. 2.Jiangsu Institute of Software QualityNanjing, JiangsuChina
  3. 3.Department of Computer Science and EngineeringSoutheast UniversityNanjing, JiangsuChina

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