한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)
- 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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- Pages.702-705
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- 2004
고객-제품 구매여부 데이터를 이용한 협동적 필터링에서의 유사성 척도의 사용
Use of Similarity Measures in Collaborative Filtering Based on Binary User-Item Matrix
- 발행 : 2004.05.21
초록
Collaborative filtering (CF) is originally based on the ratings of customers who vote on the items they used. When customers' votes are not available, user-item binary data set which represents choice and non-choice can also be used in this analysis. In this case the similarities between active user and the other users must be modified. Therefore we compare eight types of binary similarities by applying them in the modified CF Algorithm. Some experimental results will be reported.
키워드