Korean Management Science Review (경영과학)

The Korean Operations Research and Management Science Society (한국경영과학회)
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Customer Behavior Based Customer Profiling Technique for Personalized Products Recommendation

개인화된 제품 추천을 위한 고객 행동 기반 고객 프로파일링 기법

  • 박유진 (연세대학교 원주캠퍼스 경영학과) ;
  • 정유진 (연세대학교 원주캠퍼스 경영학과) ;
  • 장근녕 (연세대학교 원주캠퍼스 경영학과)
  • Published : 2006.11.30
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Abstract

In this paper, we propose a customer profiling technique based on customer behavior for personalized products recommendation in Internet shopping mall. The proposed technique defines customer profile model based on customer behavior Information such as click data, buying data, market basket data, and interest categories. We also implement CBCPT(customer behavior based customer profiling technique) and perform extensive experiments. The experimental results show that CBCPT has higher MAE, precision, recall, and F1 than the existing other customer profiling technique.

Keywords

References

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