Clustering Method Using Item Preference Based on RFM for Recommendation System in U-Commerce-Reference-Cited by-同舟云学术

Clustering Method Using Item Preference Based on RFM for Recommendation System in U-Commerce

Published:2012-11-20 Issue: Volume: Page:353-362
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Cho Young Sung,Moon Song Chul,Jeong Seon-phil,Oh In-Bae,Ryu Keun Ho

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-007-5857-5_38.pdf

Reference10 articles.

1. Cho, Y.S., Heo, M.H., Ryu, K.H.: Implementation of personalized recommendation system using RFM method in mobile internet environment. KSCI, vol. 13th-2, pp. 1–5 Mar 2008

2. Cho, Y.S., Ryu, K.H.: Implementation of personalized recommendation system using demographic data and RFM method in e-commerce. In: 2008 IEEE International Conference on Management of Innovation and Technology Publication (2008)

3. Woon, J.B., Cho, Y.S., Ryu, K.H.: Personalized e-commerce recommendation system using RFM method and association rules. KSCI, vol. 15th-12, pp. 227–235 Dec 2010

4. Cho, Y.S., Jeong, S., Ryu, K.H.: Implementation of personalized u-commerce recommendation system using preference of item category based on RFM. In: the 6th International Conference on Ubiquitous Information Technologies and Applications, pp. 109–114 (2011)

5. Cho, Y.S., Ryu K.H.: Personalized recommendation system using FP-tree mining based on RFM. KSCI, vol. 17th-2, Feb 2012

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