Visualizing method based on item sales records and its experimentation

Authors:
Yoshihiro Hayashi;Hiroshi Tsuji;Ryosuke Saga
Affiliations:
Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan;Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan;Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Japan
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

A method for improving a visualized preference transition network by screening nodes in the network, where a node represents a product item, is described. The original preference transition network was developed not only for visualizing customer movements/trends in selecting items but also for finding the features of items. However, understanding such movements/trends and features is difficult when the network has many nodes and links. To solve this problem, the proposed method is a sensitivity analysis for identifying redundant nodes and links with adjustment of the threshold expressed by the Simpson coefficient. The effectiveness of this method was shown through a numerical experiment for 172 kinds of products, 2,227 customers, and their 90,000 sales records.