Rating Prediction

Rating Prediction is a computational task in recommendation systems that belongs to the class of predictive modeling problems, specifically distinguished by its objective of estimating a user’s numerical rating for an item based on historical user-item interactions and preferences.

960

Publications

63.3K

Citations

2.6K

Authors

875

Institutions

Publications per year

2017–2026

450

Authors

2.6K

  1. CV
    Costas Vassilakis

    University of Peloponnese, Greece

    8 publications · 152 citations

    8

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    8 publications · 1.5K citations

    8

    h-index

  3. LS
    Lars Schmidt-Thieme

    University of Hildesheim, Germany

    8 publications · 1.3K citations

    8

    h-index

  4. FR
    Francesco Ricci⋆

    Free University of Bozen-Bolzano, Italy

    8 publications · 404 citations

    8

    h-index

  5. DM
    Dionisis Margaris

    University of Peloponnese, Greece

    8 publications · 152 citations

    8

    h-index

1–5 of 2.6K

Venues

  1. IEEE Access

    44 publications · 1.5K citations

    24

    h-index

  2. arXiv (Cornell University)

    Repository · 28 publications · 1.3K citations

    18

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 15 publications · 2.5K citations

    14

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 596 citations

    11

    h-index

  5. Applied Sciences

    12 publications · 429 citations

    11

    h-index

1–5