The Recommendation System Using Mathematical Programming Model

摘要

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.