Explainable Conversational Recommendation

Explainable Conversational Recommendation is a conversational recommendation approach that, as its distinguishing feature, integrates transparent and interpretable reasoning mechanisms to explicitly justify recommendation decisions during user interactions.

10

Publications

369

Citations

46

Authors

24

Institutions

Publications per year

2017–2026

10

Authors

46

  1. XX
    Xing Xie

    Microsoft Research Asia (China), China

    2 publications · 69 citations

    2

    h-index

  2. FP
    Florian Pécune

    University of Glasgow, United Kingdom

    2 publications · 86 citations

    2

    h-index

  3. YL
    Yang Liu

    Nanyang Technological University, Singapore

    1 publications · 21 citations

    1

    h-index

  4. ED
    Elizabeth Daly

    IBM (United States), United States

    1 publications · 59 citations

    1

    h-index

  5. PR
    Pengjie Ren

    Shandong University, China

    1 publications · 32 citations

    1

    h-index

1–5 of 46

Venues

  1. ACM Transactions on Information Systems

    1 publications · 59 citations

    1

    h-index

  2. Frontiers in Robotics and AI

    1 publications · 36 citations

    1

    h-index

  3. Frontiers in Psychiatry

    1 publications · 21 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 14 citations

  5. Multimodal Technologies and Interaction

    1 publications · 10 citations

1–5