Ranking Evaluation

Ranking Evaluation is a methodological framework within recommendation evaluation that assesses the quality of ranked item lists generated by recommender systems based on positional relevance and user engagement metrics.

285

Publications

24.8K

Citations

738

Authors

351

Institutions

Publications per year

2017–2026

103

Authors

738

  1. AB
    Alejandro Bellogín

    Universidad Autónoma de Madrid, Spain

    8 publications · 677 citations

    8

    h-index

  2. PC
    Pablo Castells

    Universidad Autónoma de Madrid, Spain

    7 publications · 554 citations

    7

    h-index

  3. PC
    Paolo Cremonesi

    Politecnico di Milano, Italy

    5 publications · 1.6K citations

    5

    h-index

  4. AS
    Alan Said

    Technische Universität Berlin, Germany

    4 publications · 293 citations

    4

    h-index

  5. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    4 publications · 844 citations

    4

    h-index

1–5 of 738

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 194 citations

    7

    h-index

  2. Expert Systems with Applications

    5 publications · 341 citations

    5

    h-index

  3. User Modeling and User-Adapted Interaction

    4 publications · 845 citations

    4

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 70 citations

    3

    h-index

  5. IEEE Transactions on Learning Technologies

    3 publications · 273 citations

    3

    h-index

1–5