Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

jiawei chen
jiawei chen
Qihao Shi
Qihao Shi
Jingbang Chen
Jingbang Chen
Yan Feng
Yan Feng

national conference on artificial intelligence, 2020.

Cited by: 0|Bibtex|Views74
Other Links: academic.microsoft.com|arxiv.org

Abstract:

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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