Interactive Explanation Interfaces

Interactive Explanation Interfaces is a human-computer interaction framework in recommender systems that enables users to actively engage with, query, and refine explanation content to enhance transparency, trust, and understanding of recommendation outcomes.

27

Publications

1.3K

Citations

84

Authors

39

Institutions

Publications per year

2017–2026

19

Authors

84

  1. YM
    Yao Ming

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 123 citations

    2

    h-index

  2. FS
    Francesco Sovrano

    University of Bologna, Italy

    2 publications · 35 citations

    2

    h-index

  3. FV
    Fabio Vitali

    University of Bologna, Italy

    2 publications · 35 citations

    2

    h-index

  4. FC
    Furui Cheng

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 123 citations

    2

    h-index

  5. AE
    Ali Erdem

    University of Southern California, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 84

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 195 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  3. Array

    1 publications · 13 citations

    1

    h-index

  4. Automated Software Engineering

    1 publications · 33 citations

    1

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 1 publications · 21 citations

    1

    h-index

1–5