Explanation Quality Evaluation

Explanation Quality Evaluation is a methodological construct in the field of explainable recommendation that systematically assesses the fidelity, comprehensibility, and usefulness of generated explanations to determine their effectiveness in enhancing user trust and decision-making.

149

Publications

11.6K

Citations

469

Authors

214

Institutions

Publications per year

2017–2026

114

Authors

469

  1. JM
    Judith Masthoff

    University of Aberdeen, United Kingdom

    3 publications · 1K citations

    3

    h-index

  2. MS
    Michael Scriven

    Claremont Graduate University, United States

    3 publications · 137 citations

    3

    h-index

  3. RC
    Rémi Cadène

    Sorbonne Université, France

    3 publications · 61 citations

    3

    h-index

  4. TS
    T. Serre

    Massachusetts Institute of Technology, United States

    3 publications · 61 citations

    3

    h-index

  5. NT
    Nava Tintarev

    University of Aberdeen, United Kingdom

    3 publications · 1K citations

    3

    h-index

1–5 of 469

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 1.4K citations

    19

    h-index

  2. Cognitive Science

    3 publications · 116 citations

    3

    h-index

  3. Psychonomic Bulletin & Review

    3 publications · 100 citations

    3

    h-index

  4. Electronics

    3 publications · 2.4K citations

    3

    h-index

  5. Expert Systems with Applications

    2 publications · 81 citations

    2

    h-index

1–5