User-centric Explanations

User-Centric Explanations is a type of explanation framework in explainable recommendation that prioritizes the user's perspective by tailoring explanations to individual users' preferences, cognitive processes, and decision-making needs, thereby enhancing interpretability, trust, and satisfaction through personalized, meaningful, and actionable reasoning.

41

Publications

1.7K

Citations

163

Authors

62

Institutions

Publications per year

2017–2026

39

Authors

163

  1. QV
    Q. Vera Liao

    Microsoft (Canada), Canada

    3 publications · 291 citations

    3

    h-index

  2. JD
    Jonathan Dodge

    Oregon State University, United States

    2 publications · 275 citations

    2

    h-index

  3. FY
    Fumeng Yang

    Northwestern University, United States

    2 publications · 200 citations

    2

    h-index

  4. SJ
    Shoeb Joarder

    University of Duisburg-Essen, Germany

    2 publications · 55 citations

    2

    h-index

  5. MG
    Mouadh Guesmi

    University of Duisburg-Essen, Germany

    2 publications · 55 citations

    2

    h-index

1–5 of 163

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 126 citations

    5

    h-index

  2. ACM Transactions on Interactive Intelligent Systems

    TIIS · 3 publications · 111 citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 42 citations

    2

    h-index

  4. First Monday

    1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5