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http://dx.doi.org/10.3745/KIPSTD.2003.10D.7.1225

Personalized Commodity Recommendation Using A Multi-Stage Algorithm  

Chang, Byeong-Cheol (롯데쇼핑 IS 사업팀)
Choi, Doug-W. (성균관대학교 시스템경영공학부)
Lee, Dong-Cheol (제주대학교 경영정보학과)
Abstract
Many cyber-shopping malls use various commodity recommendation methods. Although the detailed algorithms are not disclosed to the public, they mostly rely on relatively simple and straightforward methods. This paper intends to improve the commodity recommendation by using a multi-stage algorithm which considers factors that are characteristics of the commodity itself, of the consumer group, and of the individual customer. A comparison table is provided which shows whether there is a change in commodity recommendation as we consider more factors about the customer.
Keywords
Personalized Commodity Recommendation; Multi-stage Algorithm; Cyber-shopping Mall;
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