Development of Personalized Insurance Product Recommendation Systems based on Artificial Neural Networks

인공신경망 기반의 개인 맞춤형 보험 상품 추천 시스템 개발

  • Seo, Kwang-Kyu (Dept. of Industrial Information and Systems Engineering, Sangmyung University)
  • 서광규 (상명대학교 산업정보시스템공학과)
  • Published : 2008.12.30

Abstract

Many studies on predicting and recommending information and products have been studying to meet customers' preference. Unnecessary information should be removed to satisfy customers' needs in massive information. The some information filtering methods to remove unnecessary information have been suggested but these methods have scarcity and scalability problems. Therefore, this paper explores a personalized recommendation system based on artificial neural network (ANN) to solve these problems. The insurance product recommendation is adapted as an example to demonstrate the proposed method. The proposed recommendation system is expected to recommended a suitable and personalized insurance products for customers' satisfaction.

Keywords

References

  1. 고제석, 임현희, 김장수, "금융투자를 위한 전문가 시스템응용 사례", 산업개발연구, 15(2001): 11-24
  2. 김하균, 정석찬, "금융상품추천 전문가시스템을 이용한 은행의 eCRM 설계 및 구축 방안에 관한 연구", 한국전자거래학회지, 9(3) (2004): 191-205
  3. 이성하, "금융 프로덕트 팩토리를 위한 복합상품 설계시스템의 개발", 한국지능정보시스템학회논문지, 10(2) (2004): 39-51
  4. 최성철, "맞춤형 금융상품 설계시스템의 개발", Journal of Information Technology Application & Management, 10(4) (2003): 119-133
  5. 홍태호, 이희정, 서보밀, "클러스터링 기반 사례기반추론을 이용한 웹 개인화 추천시스템, 한국지능정보시스템학회지, 11(1) (2005): 107-121
  6. Claypool, M. et al., "Combining content-based and collaborative filters in an online newspaper", Proceedings of ACM SIGIR Workshop on Recommender Systems, (1999)
  7. Chun, I. and Hong, I., "The implementation of knowledge-based recommender system for electronic commerce using Java expert system library", Proceedings of IEEE International Symposium on Industrial Electronics, (2002): 1766-1770
  8. Goldberg, D., Nichols, D., Oki, B. M. and Terry, D., "TAPESTRY : using collaborative filtering to weave an information", Communications of the ACM, 35(12) (1992): 61-70
  9. Lee, H.C., "An exploratory study for decreasing error of prediction value of recommended system on user based", Journal of Korea Data & Information Society, 17(1) (2006): 77-86
  10. Rensnick, P. et al., "GroupLens: An open architecture for collaborative filtering of netnews", Proceedings of the ACM Conference on Computer Supported Cooperative Work, (1994): 175-186
  11. Zhang, X., Edwards, J. and Harding, J., "Personalized online sales using web usage data mining, Computers in Industry", 58(8-9) (2007): 772-782 https://doi.org/10.1016/j.compind.2007.02.004