Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
national conference on artificial intelligence, 2020.
Recommendation from implicit feedback is a highly challenging task due to the lack of the reliable observed negative data. A popular and effective approach for implicit recommendation is to treat unobserved data as negative but downweight their confidence. Naturally, how to assign confidence weights and how to handle the large number of...More
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