The recommendation system using mathematical programming model

Authors:
Masahiko Ishino;Naokazu Yamaki;Teruhisa Ichikawa;Tadanori Mizuno
Affiliations:
Shizuoka University, Hamamatsu-shi, Shizuoka, Japan;Shizuoka University, Hamamatsu-shi, Shizuoka, Japan;Shizuoka University, Hamamatsu-shi, Shizuoka, Japan;Shizuoka University, Hamamatsu-shi, Shizuoka, Japan
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Year:
2007

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Abstract

Recommendation increases its importance in research and industries as the e-commerce penetrates every-day life. The authors propose a recommendation method using customers and goods attribute matching. The proposed method is based on Analytic Hierarchy Process (AHP) and Conjoint analysis with purchase records. The authors describe the details of attribute weight adjustment using a mathematical model. We applied it in research experimentally in a real shop and examined practical use.