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

  • Authors:

  • Huan-Ming Chuang;Li-Chuan Wang;Chu-Ching Pan

  • Affiliations:

  • -;-;-

  • Venue:
  • SKG '08 Proceedings of the 2008 Fourth International Conference on Semantics, Knowledge and Grid
  • Year:
  • 2008

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Abstract

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.