Explanation Satisfaction

Explanation Satisfaction is a user-centered evaluation metric in explainable recommendation systems that quantifies the extent to which generated explanations meet users' cognitive and informational needs in justifying personalized recommendations.

33

Publications

3.1K

Citations

87

Authors

44

Institutions

Publications per year

2017–2026

26

Authors

87

  1. ST
    Shane T. Mueller

    Michigan Technological University, United States

    3 publications · 510 citations

    3

    h-index

  2. TL
    Tania Lombrozo

    University of California, Berkeley, United States

    3 publications · 74 citations

    3

    h-index

  3. MD
    Marcin Detyniecki

    Sorbonne Université, France

    2 publications · 87 citations

    2

    h-index

  4. TD
    Tim Donkers

    University of Duisburg-Essen, Germany

    2 publications · 48 citations

    2

    h-index

  5. EL
    Emily Liquin

    Princeton University, United States

    2 publications · 41 citations

    2

    h-index

1–5 of 87

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 238 citations

    3

    h-index

  2. Companion Proceedings of the Web Conference 2020

    Conference · 1 publications · 15 citations

    1

    h-index

  3. Current Directions in Psychological Science

    1 publications · 13 citations

    1

    h-index

  4. Journal of Information Systems

    1 publications · 33 citations

    1

    h-index

  5. International Joint Conference on Artificial Intelligence

    Conference · 1 publications · 75 citations

    1

    h-index

1–5