期刊名称：Journal of Theoretical and Applied Electronic Commerce Research
印刷版ISSN：0718-1876
电子版ISSN：0718-1876
出版年度：2009
卷号：4
期号：3
页码：43-57
语种：English
出版社：Universidad de Talca
其他摘要：Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we present a Poisson regression approach for analyzing customer preferences and a genetic algorithm for determining preferencebased default products. The basis for this is transaction data, as they are automatically generated when configuring a product online. The potentials of the suggested methodology are demonstrated by means of two case studies referring to different product categories.
关键词：Customization; genetic algorithm; poisson regression; preference analysis; product configuration; web usage data
