Group Recommendation Evaluation

Group Recommendation Evaluation is a systematic assessment methodology within recommender systems research that specifically measures the effectiveness, accuracy, and user satisfaction of recommendation algorithms designed to provide personalized suggestions to groups of users rather than individuals, distinguished by its focus on collective preference aggregation and group-level outcome analysis.

40

Publications

2.3K

Citations

112

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

112

  1. LM
    Luc Martens

    Ghent University, Belgium

    3 publications · 195 citations

    3

    h-index

  2. TD
    Toon De Pessemier

    Ghent University, Belgium

    3 publications · 195 citations

    3

    h-index

  3. LB
    Ludovico Boratto

    University of Cagliari, Italy

    3 publications · 90 citations

    3

    h-index

  4. DH
    Daniel Herzog

    Technical University of Munich, Germany

    2 publications · 39 citations

    2

    h-index

  5. BD
    Belén Dí­az-Agudo

    Universidad Complutense de Madrid, Spain

    2 publications · 146 citations

    2

    h-index

1–5 of 112

Venues

  1. Multimedia Tools and Applications

    3 publications · 195 citations

    3

    h-index

  2. Decision Support Systems

    2 publications · 81 citations

    2

    h-index

  3. Journal of Intelligent Information Systems

    2 publications · 124 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 56 citations

    2

    h-index

  5. Neurocomputing

    2 publications · 42 citations

    2

    h-index

1–5