Conversational Recommendation

Conversational Recommendation is a recommendation paradigm within recommender systems that generates personalized item suggestions by interactively eliciting and refining a user’s preferences through multi-turn, real-time conversational interactions.

327

Publications

15.5K

Citations

1K

Authors

318

Institutions

Publications per year

2017–2026

252

Authors

1K

  1. FR
    Francesco Ricci⋆

    Free University of Bozen-Bolzano, Italy

    17 publications · 789 citations

    13

    h-index

  2. WX
    Wayne Xin Zhao

    Renmin University of China, China

    10 publications · 800 citations

    10

    h-index

  3. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    10 publications · 720 citations

    10

    h-index

  4. JW
    Ji-Rong Wen

    Renmin University of China, China

    9 publications · 861 citations

    9

    h-index

  5. KZ
    Kun Zhou

    Renmin University of China, China

    8 publications · 772 citations

    8

    h-index

1–5 of 1K

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 373 citations

    12

    h-index

  2. ACM Transactions on Information Systems

    10 publications · 462 citations

    9

    h-index

  3. 7

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 173 citations

    5

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 6 publications · 109 citations

    5

    h-index

1–5