Data mining in parametric product catalogs

Authors:
Lingrui Liao;Tianyuan Xiao
Affiliations:
Department of Automation, Tsinghua University, Beijing, P.R. China;Department of Automation, Tsinghua University, Beijing, P.R. China
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

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Abstract

Parametric product catalogs provide unique context for data mining techniques. The specific user access mode is analyzed. The availability of structured content data is taken into consideration. Three mining scenarios (category association, feature evaluation and product recommendation) are discussed. Related mining techniques are introduced and adjusted to the context. A system framework is put forward to show how these techniques can support each other efficiently to build a more integrated and intelligent system.