Advertisement

A User Adaptive Mobile Commerce System with a Middlet Application

  • Eunseok Lee
  • Sera Jang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

Mobile Commerce (MC) has some common critical problems such as constraints on small mobile device, expensive charge system, limited contents, and so on. In this paper we propose some solutions for solving the problems as follows: 1) personalized contents providing to increase the usability of the device by reducing the amount of information transferred to the device with personalization policy. 2) A middlet application to support user’s purchase activities such as products searching, ordering and settlement on the device with a minimum network connection. The solutions make us to overcome the both problems of the device with small screen and memory and expensive charge system.

Keywords

Mobile Device Association Rule Recommender System Minimum Support Apriori Algorithm 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    Thorsteinn, S., “Lecture Note: Self-Organizing Algorithms”, http://www.hh.se/staff/denni
  6. 6.
    IBM Almaden Research Center, “Mining Sequential Patterns” http://www.cs.duke.edu/~geng/
  7. 7.
    Purdom, P., Gucht, D.V., Average Case Performance of the Apriori Algorithm Technica reports from Indiana University Computer Science DepartmentGoogle Scholar
  8. 8.
    Tveit, A., Peer-to-peer based recommendations for mobile commerce. Proceedings of th first inter-national workshop on Mobile commerce July 2001Google Scholar
  9. 9.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Eunseok Lee
    • 1
  • Sera Jang
    • 1
  1. 1.School of Information and Communication EngineeringSungkyunkwan Univ.(SKKU)KyunggiSouth Korea

Personalised recommendations