Designing web menu for configurable goods

Takayuki Shiga, Mizuho Iwaihara, Yahiko Kambayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsKurt Bauknecht, A. Min Tjoa, Gerald Quirchmayr
PublisherSpringer Verlag
Pages348-358
Number of pages11
ISBN (Print)3540408088, 9783540408086
Publication statusPublished - 2003 Jan 1
Externally publishedYes
Event4th International Conference on E-Commerce and Web Technology, EC-Web 2003 - Prague, Czech Republic
Duration: 2003 Sept 22003 Sept 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2738
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on E-Commerce and Web Technology, EC-Web 2003
Country/TerritoryCzech Republic
CityPrague
Period03/9/203/9/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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