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Implementation of personalized recommendation system using demograpic data and RFM method in e-commerce

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2 Author(s)
Young Sung Cho ; Dept. of Database/Bioinf. Lab., Chungbuk Nat. Univ., Seoul ; Keun Ho Ryu

This paper proposes the recommendation system which is used the implicit method without onerous question and answer to the users based on the data from purchasing, unlike the other evaluation techniques. We applied demographic variable of the user information and RFM technique which can analyze the tendency of the various personalization and the exact customer. It could be proved and evaluated according to the criteria of logicality through the experiment with dataset collected in a cosmetic cyber shopping mall.

Published in:

Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on

Date of Conference:

21-24 Sept. 2008