Personalized Recommendation Service System in E-Learning Using Web Intelligence

  • Xinye Li
  • Qi Luo
  • Jinsha Yuan
Conference paper

DOI: 10.1007/978-3-540-72588-6_86

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4489)
Cite this paper as:
Li X., Luo Q., Yuan J. (2007) Personalized Recommendation Service System in E-Learning Using Web Intelligence. In: Shi Y., van Albada G.D., Dongarra J., Sloot P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4489. Springer, Berlin, Heidelberg

Abstract

Personalized education is a very hot topic in distant research. To realize personalized E-learning, a personalized recommendation service system was proposed and realized. Web technologies of personality and adaptive filtering were applied in the system. The structure of system, workflow and key technologies of realizing feature selection module, user interest module, personalized teaching resources filtering module were introduced in the paper.

Keywords

E-Learning Data Mining Web Intelligence Personality 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Xinye Li
    • 1
  • Qi Luo
    • 2
    • 3
  • Jinsha Yuan
    • 1
  1. 1.Department of Electronic and Communication Engineering,North China Electric, Power University, Baoding 071003China
  2. 2.Information Engineering school, Wuhan University of Science and Technology and Zhongnan Branch, Wuhan 430223China
  3. 3.College of Engineering and Technology, Southwest University, Chongqing 400715China

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