Weighted Matrix Factorization
Weighted Matrix Factorization is a matrix factorization method that incorporates observation-specific weights to differentiate the contribution of known entries during model optimization, thereby prioritizing certain implicit feedback signals over others in the factorization process.
70
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6.6K
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214
Authors
113
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2017–2026
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Weighted Nuclear Norm Minimization with Application to Image Denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo et al. · 2014 · 2.3K citations
Natural Sciences, Biomedical Engineering, Computer Vision +15
Learning from Incomplete Ratings Using Non-negative Matrix Factorization
Sheng Zhang, Weihong Wang, James Ford et al. · 2006 · 373 citations
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Xi'an Jiaotong University
Xi'an, China
5 h-index
16 publications
801 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
4 publications
215 citations
Fudan University
Shanghai, China
3 h-index
7 publications
1.1K citations
National University of San Luis
San Luis, Argentina
2 h-index
2 publications
58 citations

Zhejiang University
Hangzhou, China
2 h-index
8 publications
480 citations
Qufu Normal University
Qufu, China
2 h-index
4 publications
110 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
5 publications
129 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
5 publications
108 citations
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Repository · 3 publications · 72 citations
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2 publications · 37 citations
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2 publications · 245 citations
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