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

Publications

6.6K

Citations

214

Authors

113

Institutions

Publications per year

2017–2026

21

Authors

214

  1. MP
    Matthieu Puigt

    Université du littoral côte d'opale, France

    2 publications · 22 citations

    2

    h-index

  2. HM
    Hiroshi Mamitsuka

    Kyoto University, Japan

    2 publications · 348 citations

    2

    h-index

  3. GD
    Gilles Delmaire

    Université du littoral côte d'opale, France

    2 publications · 22 citations

    2

    h-index

  4. DG
    Dian Gong

    University of Southern California, United States

    2 publications · 57 citations

    2

    h-index

  5. VV
    Vicente Vidal

    Universitat Politècnica de València, Spain

    2 publications · 58 citations

    2

    h-index

1–5 of 214

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 72 citations

    3

    h-index

  2. Ukrainian Mathematical Journal

    2 publications · 37 citations

    2

    h-index

  3. IEEE Transactions on Cybernetics

    2 publications · 41 citations

    2

    h-index

  4. Pattern Recognition Letters

    2 publications · 245 citations

    2

    h-index

  5. IEEE Access

    2 publications · 48 citations

    2

    h-index

1–5