A Study on the Comparison between Content-Based and Preference-Based Recommendation Systems

摘要

Since business markets have the feature of small number of customers with tremendous amount of sales, it's quite cost-effective to offer personalized recommendations to enhance customer responsiveness and relationship marketing. Two current popular recommendation systems both from content-and preference-based approach are conducted to compare their recommendation quality. In sum, ARM performed better than RFM-CF in this case. It implied that it' beneficial to segment customers, and then to provide customized services for different customer segments.