Supporting retrieval of configurable goods based on statistical analysis of combination constraints

Takayuki Shiga*, Mizuho Iwaihara, Yahiko Kambayashi

*この研究の対応する著者

研究成果査読

2 被引用数 (Scopus)

抄録

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 menus for configurable goods. We discuss evaluating the correlations between component classes of configurable goods. Such correlations can be used to design web menus which cause fewer 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 present 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.

本文言語English
ページ(範囲)12-22
ページ数11
ジャーナルSystems and Computers in Japan
36
2
DOI
出版ステータスPublished - 2005 2 1
外部発表はい

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 情報システム
  • ハードウェアとアーキテクチャ
  • 計算理論と計算数学

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