Session-based Conversational Recommendation

Session-Based Conversational Recommendation is a conversational recommendation paradigm that operates within a single interaction session, distinguishing itself by modeling user preferences dynamically from sequential, contextually constrained dialogue turns without reliance on long-term user history.

6

Publications

196

Citations

24

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

24

  1. WX
    Wei Xu

    Renmin University of China, China

    1 publications · 31 citations

    1

    h-index

  2. SS
    Sarah Shugars

    Northeastern University, United States

    1 publications · 34 citations

    1

    h-index

  3. GS
    Giovanni Semeraro

    University of Bari Aldo Moro, Italy

    1 publications · 44 citations

    1

    h-index

  4. ST
    Shamsi T. Iqbal

    Microsoft (United States), United States

    1 publications · 39 citations

    1

    h-index

  5. PB
    Pierpaolo Basile

    University of Bari Aldo Moro, Italy

    1 publications · 44 citations

    1

    h-index

1–5 of 24

Venues

  1. Artificial Intelligence Review

    1 publications · 29 citations

    1

    h-index

  2. Expert Systems with Applications

    1 publications · 19 citations

    1

    h-index

  3. Information Processing & Management

    1 publications · 31 citations

    1

    h-index

  4. User Modeling and User-Adapted Interaction

    1 publications · 44 citations

    1

    h-index

1–4