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Designing Web Menu for Configurable Goods

  • Takayuki Shiga
  • Mizuho Iwaihara
  • Yahiko Kambayashi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2738)

Abstract

Configurable goods are becoming a popular style for e-commerce web shopping sites in which buyers can configure a product of their needs from menus listing components. In this paper, we propose a sophisticated system support for designing web menu for configurable goods. We discuss evaluating correlations between component classes of configurable goods. Such correlations can be used to design web menus which cause less trial errors and give an aggregated view of product constraints. Choosing a proper quantitative measure for correlation is an important issue here. We compare a number of statistical and mining methods by experiments and show that Cramer’s coefficient is most suitable for this problem. Then we show an algorithm which generates a tree structure for web menus such that closely correlated component classes are clustered, and hence users can easily select components.

Keywords

Association Rule Selection Order Memory Type Component Classis Prefer Class 
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 2003

Authors and Affiliations

  • Takayuki Shiga
    • 1
  • Mizuho Iwaihara
    • 1
  • Yahiko Kambayashi
    • 1
  1. 1.Department of Social InformaticsKyoto UniversitySakyo-Ku, KyotoJapan

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