한국지능정보시스템학회:학술대회논문집 (Proceedings of the Korea Inteligent Information System Society Conference)
- 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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- Pages.192-197
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- 2001
A Personalized Recommendation Procedure for E-Commerce
- Kim, Jae-Kyeong (School of Business Administration, Kyung Hee University) ;
- Cho, Yoon-Ho (Graduate School of Management, Korea Advanced Institute of Science and Technology) ;
- Kim, Woo-Ju (Department of Industrial Engineering, Chonbuk National University) ;
- Kim, Je-Ran (Department of Industrial Engineering, Chonbuk National University) ;
- Suh, Ji-Hae (School of Business Administration, Kyung Hee University)
- 발행 : 2001.01.01
초록
A recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly nowadays so the concerns about various recommendation procedures are increasing. We introduce a recommendation methodology by which e-commerce sites suggest new products of services to their customers. The suggested methodology is based on web log analysis, product taxonomy, and association rule mining. A product recommendation system is developed based on our suggested methodology and applied to a Korean internet shopping mall. The validity of our recommendation system is discussed with the analysis of a real internet shopping mall case.