지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Collaborative filtering has been popular in commercial recommender systems, as it successfully implements social behavior of customers by suggesting items that might fit to the interests of a user. So far, most common method to find proper items for recommendation is by searching for similar users and consulting their ratings. This paper suggests a new similarity measure for movie recommendation that is based on genre interest, instead of differences between ratings made by two users as in previous similarity measures. From extensive experiments, the proposed measure is proved to perform significantly better than classic similarity measures in terms of both prediction and recommendation qualities.
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참고문헌 (16)
참고문헌 신청
C. Baoxian / 2012 / A collaborative filtering recommendation algorithm based on user topic preference / International Journal of Advancements in Computing Technology, AICIT 4
D. Anand / 2010 / Adaptive user similarity measures for recommender systems: A genetic programming approach / The 3rd IEEE International Conference on Computer Science and Informat
G. Adomavicius / 2005 / Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions / IEEE Transactions on Knowledge & Dat
G. Koutrica / 2009 / FlexRecs: Expresing and combining flexible recommendations / Proceedings of the 2009 ACM SIGMOD International Conference on Management of data : 745 ~ 758
H. J. Ahn / 2008 / A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem, Information Sciences / Elsevier Science Inc. 178 (1)
D. Anand / 2010 / Adaptive user similarity measures for recommender systems: A genetic programming approach / The 3rd IEEE International Conference on Computer Science and Informat
G. Adomavicius / 2005 / Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions / IEEE Transactions on Knowledge & Dat
G. Koutrica / 2009 / FlexRecs: Expresing and combining flexible recommendations / Proceedings of the 2009 ACM SIGMOD International Conference on Management of data : 745 ~ 758
H. J. Ahn / 2008 / A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem, Information Sciences / Elsevier Science Inc. 178 (1)
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