사례기반추론과 데이터 마이닝 기법에 기반한 인터넷 구매지원 메커니즘에 관한 연구

국문 초록 (Abstract)

1. 서론
2. 연구방법론
3. 실험 및 결과
4. 결론 및 향후 연구방향

국문 초록 (Abstract)

해당사항없음

다국어 초록 (Multilingual Abstract)

One of the major topic in the field of internet business is blending Artificial Intelligence(AI) techniques with the internet business. For this purpose, this paper suggest hybrid Intelligent internet purchase support mechanism based on CBR (Case-Based Reasoning) and data mining technique. CBR is used in reasoning for customer preference searching the information of goods and training through the reuse. The reuse make efficient management of information and a process of Internet business In the relation between customer and goods, If there are some goods which is not search form data mining, this study use CBR for solving and recommendation of similar case. A Web-log data gathered in real-world Internet shopping mall is given to illustrate the Quality of the proposed mechanism. The results showed that the CBR and data mining-based hybrid recommendation mechanism could reflect both reuse information and customer's individual profile. The implications of the study for future directions of research on internet purchase support expert system and It's inference mechanisms are presented.