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Dynamical E-Commerce System for Shopping Mall Site Through Mobile Devices

  • Sanggil Kang
  • Wonik Park
  • Young-Kuk Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4055)

Abstract

We introduce a novel personalized E-commerce system through mobile devices. By providing mobile clients’ preferred service category or items in a shopping mall website, the problem of the limitation of resource of mobile devices can be solved. In this paper, the preferred service items are inferred by analyzing customers’ statistical preference transactions and consumption behaviors in the website. In computing the statistical preference transactions, we consider the ratio of the length of each service page and customers’ staying time on it. Also, our system dynamically provides the personalized E-commerce service according to the three different cases such as the beginning stage, the positive response, and the negative response. In the experimental section, we demonstrate our personalized E-commerce service system and show how much the resource of mobile devices can be saved.

Keywords

Mobile Device Collaborative Filter Shopping Mall Consumption Behavior Service Category 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sanggil Kang
    • 1
  • Wonik Park
    • 2
  • Young-Kuk Kim
    • 2
  1. 1.Department of Computer ScienceUniversity of SuwonHwaseong, Gyeonggi-doSouth Korea
  2. 2.Division of Information & Communication EngineeringChungnam National UniveristyDaejeonSouth Korea

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