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Asia-Pacific Web Conference

International Conference on Web-Age Information Management

APWeb 2007, WAIM 2007: Advances in Web and Network Technologies, and Information Management pp 340–347Cite as

Research on Personalized Recommendation Algorithm in E-Supermarket System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4537))

Abstract

The rapid growth of e-commerce had caused product overload where customers were no longer able to effectively choose the products that they were needed.To meet the personalized needs of customers in E- supermarket, the technologies of web usage mining, collaborative filtering and decision tree were applied in the paper, while a new personalized recommendation algorithm were proposed. Personalized recommendation algorithm were also used in personalized recommendation service system based on E-supermarket (PRSSES). The results manifest that it could support E-commerce better.

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Author information

Authors and Affiliations

  1. School of Management, Wuhan University of Technology, Wuhan 430070, China

    Xiong Feng

  2. School of Business, Ningbo University, Ningbo, 315211, China

    Xiong Feng

  3. College of Engineering and Technology, Southwest University, Chongqing 400715, China

    Qi Luo

  4. Information Engineering school, Wuhan University of Science and Technology and, Zhongnan Branch, Wuhan 430223, China

    Qi Luo

Authors
  1. Xiong Feng
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  2. Qi Luo
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Editor information

Kevin Chen-Chuan Chang Wei Wang Lei Chen Clarence A. Ellis Ching-Hsien Hsu Ah Chung Tsoi Haixun Wang

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© 2007 Springer-Verlag Berlin Heidelberg

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Cite this paper

Feng, X., Luo, Q. (2007). Research on Personalized Recommendation Algorithm in E-Supermarket System. In: Chang, K.CC., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72909-9_38

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  • DOI: https://doi.org/10.1007/978-3-540-72909-9_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72908-2

  • Online ISBN: 978-3-540-72909-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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