Singular Value Decomposition++
Singular Value Decomposition++ is a matrix factorization model in collaborative filtering that extends Singular Value Decomposition by incorporating user and item bias terms and temporal dynamics to improve prediction accuracy in sparse user-item interaction matrices.
88
Publications
10.5K
Citations
283
Authors
137
Institutions
Publications per year
2017–2026
33
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137

Beijing Institute of Technology
Beijing, China
3 h-index
11 publications
162 citations

King Saud University
Riyadh, Saudi Arabia
2 h-index
3 publications
65 citations

The NorthCap University
Gurugram, India
2 h-index
4 publications
136 citations

Sidi Mohamed Ben Abdellah University
Fes, Morocco
2 h-index
6 publications
122 citations
Max Planck Institute for Nuclear Physics
Heidelberg, Germany
2 h-index
4 publications
84 citations

Fuzhou University
Fuzhou, China
2 h-index
6 publications
90 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
9 publications
486 citations
Xinjiang University
Ürümqi, China
2 h-index
6 publications
123 citations
1–8 of 137
2 publications · 64 citations
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2 publications · 94 citations
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2 publications · 329 citations
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TOMS · 2 publications · 305 citations
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2 publications · 52 citations
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