[ACM Press the 21st ACM international co
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Ren, Yongli; Li, Gang; Zhang, Jun; Zhou, Wanlei
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Article
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2012
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ACM Press
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English
โ 473 KB
As each user tends to rate a small proportion of available items, the resulted Data Sparsity issue brings significant challenges to the research of recommender systems. This issue becomes even more severe for neighborhood-based collaborative filtering methods, as there are even lower numbers of rati