Personalized e-Commerce Recommendation System using RFM method and Association Rules

Article Properties
Cite
Jin, Byeong-Woon, et al. “Personalized E-Commerce Recommendation System Using RFM Method and Association Rules”. Journal of the Korea Society of Computer and Information, vol. 15, no. 12, 2010, pp. 227-35, https://doi.org/10.9708/jksci.2010.15.12.227.
Jin, B.-W., Cho, Y.-S., & Ryu, K.-H. (2010). Personalized e-Commerce Recommendation System using RFM method and Association Rules. Journal of the Korea Society of Computer and Information, 15(12), 227-235. https://doi.org/10.9708/jksci.2010.15.12.227
Jin BW, Cho YS, Ryu KH. Personalized e-Commerce Recommendation System using RFM method and Association Rules. Journal of the Korea Society of Computer and Information. 2010;15(12):227-35.
Citations
Title Journal Journal Categories Citations Publication Date
Competitive Strategy in Domestic Ecommerce Market: Focusing on Value Chain-based Resources and Capabilities Journal of Channel and Retailing 2024
Review and Analysis of Recommender Systems Journal of the Korean Institute of Industrial Engineers 2015
Fashion Glasses: Marketing Service Activation Strategy to Intensify the product in On-line Environment Journal of the Korea Society of Computer and Information 1 2015
Study of Marketing Activation Strategy of Leggings Fashion Product in Women's Clothing Market Journal of the Korea Institute of Information and Communication Engineering 2014
Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System Journal of the Korea Society of Computer and Information 2 2014
Citations Analysis
The first research to cite this article was titled A Study on Encouragement Strategy of Electronic Commerce planned Event to Young Class of People and was published in 2011. The most recent citation comes from a 2024 study titled Competitive Strategy in Domestic Ecommerce Market: Focusing on Value Chain-based Resources and Capabilities. This article reached its peak citation in 2015, with 2 citations. It has been cited in 4 different journals. Among related journals, the Journal of the Korea Society of Computer and Information cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year