유비쿼터스 환경에서 연관규칙과 협업필터링을 이용한 상품그룹추천

• 영문명: Product-group Recommendation based on Association Rule Mining and Collaborative Filtering in Ubiquitous Computing Environment
• 발행기관: 한국IT서비스학회
• 저자명: 김재경(Jae Kyeong Kim) 오희영(Hee Young Oh) 권오병(Oh Byung Kwon)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제6권 제2호, 113~123쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2007.08.30

영문 초록

  In ubiquitous computing environment such as ubiquitous marketplace (u-market), there is a need of providing context-based personalization service while considering the nomadic user preference and corresponding requirements. To do so, the recommendation systems should deal with the tremendous amount of context data. Hence, the purpose of this paper is to propose a novel recommendation method which provides the products-group list of the customers in u-market based on the shopping intention and preferences. We have developed FREPIRS(FREquent Purchased Item-sets Recommendation Service), which makes recommendation listof product-group, not individual product. Collaborative filtering and apriori algorithm are adopted in FREPIRS to build product-group.

목차

Abstract
1. 서론
2. Related Work
3. FREPIRS 시스템 디자인
4. FREPIRS 추천절차
5. 결론 및 향후 연구방향
참고문헌
저자소개

키워드

U-market Product-group Recommendation Collaborative Filtering Apriori algorithm