한국마린엔지니어링학회:학술대회논문집 (Proceedings of the Korean Society of Marine Engineers Conference)
- 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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- Pages.246-250
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- 2005
연관규칙 마이닝을 이용한 개인화된 추천시스템
Personalized Recommand System Using Mining for the Association Rule
- 발행 : 2005.06.26
초록
Recommand Systems are being used by an ever-increasing number of E-Commerce to help customers find products to purchase. Recommend Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different customers tastes. In this paper, we design and build a Recommend System using the historical customer movie purchase transactions and extracts the knowledge needed to make association recommendations to new customers.