Multi-relational Recommendation

Multi-Relational Recommendation is a recommendation framework that extends traditional collaborative filtering by modeling multiple types of relations among users and items, enabling the integration of heterogeneous interactions beyond simple user-item ratings or preferences.

29

Publications

1.4K

Citations

109

Authors

41

Institutions

Publications per year

2017–2026

18

Authors

109

  1. DG
    Denis Gillet

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 163 citations

    3

    h-index

  2. DY
    Dawei Yin

    Shandong University of Science and Technology, China

    2 publications · 28 citations

    2

    h-index

  3. LS
    Lars Schmidt-Thieme

    University of Hildesheim, Germany

    2 publications · 207 citations

    2

    h-index

  4. CS
    Christophe Salzmann

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 55 citations

    2

    h-index

  5. BD
    Brian D. Davison

    Lehigh University, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 109

Venues

  1. IEEE Transactions on Services Computing

    3 publications · 96 citations

    3

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 125 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 34 citations

    1

    h-index

1–5