Hybrid Factorization Models

Hybrid Factorization Models is a recommendation system model that integrates multiple factorization techniques—such as matrix factorization, tensor factorization, or deep factorization—within a unified framework to jointly capture diverse interaction patterns and auxiliary information, thereby improving predictive performance beyond single-factorization approaches.

29

Publications

1.3K

Citations

129

Authors

64

Institutions

Publications per year

2017–2026

18

Authors

129

  1. FG
    Francesco Giovanni Celiberto

    University of Calabria, Italy

    3 publications · 110 citations

    3

    h-index

  2. MF
    Michael Fucilla

    University of Calabria, Italy

    2 publications · 92 citations

    2

    h-index

  3. PC
    Peng Cui

    Tsinghua University, China

    2 publications · 155 citations

    2

    h-index

  4. FW
    Fei Wang

    Xi'an Jiaotong University, China

    2 publications · 155 citations

    2

    h-index

  5. DY
    Dmitry Yu. Ivanov

    Sobolev Institute of Mathematics, Russia

    2 publications · 92 citations

    2

    h-index

1–5 of 129

Venues

  1. Journal of Intelligent & Fuzzy Systems

    1 publications · 27 citations

    1

    h-index

  2. Universe

    1 publications · 18 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 245 citations

    1

    h-index

  4. Journal of High Energy Physics

    JHEP · 1 publications · 20 citations

    1

    h-index

  5. Microwave and Optical Technology Letters

    1 publications · 12 citations

    1

    h-index

1–5