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Best Recommendation Using Topic Map for On-Line Shopping System

  • HwaYoung Jeong
  • BongHwa Hong
Part of the Communications in Computer and Information Science book series (CCIS, volume 206)

Abstract

Topic map is generally used to recommend shopping list as analyze a user preference in internet shopping mall. It is useful method to propose the preference that is related access rate and selecting time of production. In this research, we apply this method to analyze the user characteristics in on-line shopping system. To analyze user preference, we used the topic preference vector that is able to calculate the access rate with visiting time and production selection. And we designed and developed the path of on-line shopping site. It will help to navigate the shopping by recommendation of on-line shopping list.

Keywords

U-learning system Ubiquitous computing Learning system Web service 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • HwaYoung Jeong
    • 1
  • BongHwa Hong
    • 2
  1. 1.Humanitas College of Kyunghee UniversitySeoulKorea
  2. 2.Dept. of Information and CommunicationKyunghee Cyber UniversitySeoulKorea

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