Recommendation Explanation Evaluation

Recommendation Explanation Evaluation is a scholarly assessment framework that systematically measures the effectiveness, interpretability, and user comprehension of explanations generated by knowledge-based recommendation systems to support transparency and trust in personalized suggestions.

53

Publications

5.4K

Citations

149

Authors

83

Institutions

Publications per year

2017–2026

37

Authors

149

  1. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    5 publications · 292 citations

    5

    h-index

  2. YZ
    Yongfeng Zhang

    Rutgers, The State University of New Jersey, United States

    5 publications · 197 citations

    5

    h-index

  3. NT
    Nava Tintarev

    University of Aberdeen, United Kingdom

    4 publications · 1.2K citations

    4

    h-index

  4. JM
    Judith Masthoff

    University of Aberdeen, United Kingdom

    3 publications · 1K citations

    3

    h-index

  5. KV
    Katrien Verbert

    KU Leuven, Belgium

    3 publications · 261 citations

    3

    h-index

1–5 of 149

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 251 citations

    3

    h-index

  2. ACM Transactions on Interactive Intelligent Systems

    TIIS · 2 publications · 56 citations

    2

    h-index

  3. User Modeling and User-Adapted Interaction

    2 publications · 387 citations

    2

    h-index

  4. 2

    h-index

  5. Decision Support Systems

    1 publications · 200 citations

    1

    h-index

1–5