Dialogue-based Recommendation

Dialogue-Based Recommendation is a recommendation paradigm that, as a distinct method within conversational systems, generates personalized suggestions through interactive natural language dialogue to iteratively elicit and refine user preferences.

101

Publications

4.8K

Citations

334

Authors

125

Institutions

Publications per year

2017–2026

75

Authors

334

  1. PR
    Pengjie Ren

    Shandong University, China

    4 publications · 151 citations

    4

    h-index

  2. PW
    Pontus Wärnestål

    Halmstad University, Sweden

    4 publications · 75 citations

    4

    h-index

  3. WC
    Wanling Cai

    Hong Kong Baptist University, Hong Kong SAR China

    4 publications · 101 citations

    4

    h-index

  4. ZR
    Zhaochun Ren

    Shandong University, China

    4 publications · 151 citations

    4

    h-index

  5. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    4 publications · 101 citations

    4

    h-index

1–5 of 334

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 225 citations

    10

    h-index

  2. ACM Transactions on Information Systems

    3 publications · 83 citations

    3

    h-index

  3. 3

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 65 citations

    3

    h-index

  5. Artificial Intelligence Review

    2 publications · 62 citations

    2

    h-index

1–5