Collaborative filtering based on nonnegative/binary matrix factorization
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Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix factorization techniques such as nonnegative matrix factorizat... ...
