Hybrid Matrix Factorization

Hybrid Matrix Factorization is a matrix factorization-based recommendation technique that integrates multiple sources of information or collaborative signals—such as content, context, or social data—through hybridization strategies to improve prediction accuracy beyond traditional factorization methods.

29

Publications

1.7K

Citations

105

Authors

47

Institutions

Publications per year

2017–2026

15

Authors

105

  1. PC
    Peng Cui

    Tsinghua University, China

    2 publications · 155 citations

    2

    h-index

  2. LS
    Lifeng Sun

    Tsinghua University, China

    2 publications · 155 citations

    2

    h-index

  3. MK
    Maciej Kula

    2 publications · 164 citations

    2

    h-index

  4. FW
    Fei Wang

    Xi'an Jiaotong University, China

    2 publications · 155 citations

    2

    h-index

  5. SY
    Shiqiang Yang

    Tsinghua University, China

    2 publications · 155 citations

    2

    h-index

1–5 of 105

Venues

  1. Multimedia Tools and Applications

    1 publications · 22 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 80 citations

    1

    h-index

  3. Mobile Information Systems

    1 publications · 18 citations

    1

    h-index

  4. 1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 245 citations

    1

    h-index

1–5