Interactive Feedback Modeling

Interactive Feedback Modeling is a computational framework within conversational recommendation systems that integrates and interprets dynamic user responses—such as corrections, clarifications, and preferences expressed during dialogue—to iteratively refine recommendation outcomes through structured feedback loops.

17

Publications

852

Citations

41

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

41

  1. GK
    George K. Hung

    Rutgers, The State University of New Jersey, United States

    3 publications · 354 citations

    3

    h-index

  2. AB
    Alice Barana

    University of Turin, Italy

    1 publications · 36 citations

    1

    h-index

  3. HJ
    H Jewell

    University of Glasgow, United Kingdom

    1 publications · 76 citations

    1

    h-index

  4. MM
    Marina Marchisio

    University of Turin, Italy

    1 publications · 36 citations

    1

    h-index

  5. KJ
    Kenneth J. Ciuffreda

    SUNY College of Optometry, United States

    1 publications · 117 citations

    1

    h-index

1–5 of 41

Venues

  1. Ophthalmic and Physiological Optics

    OPO · 3 publications · 179 citations

    3

    h-index

  2. 1

    h-index

  3. Geophysical Research Letters

    1 publications · 13 citations

    1

    h-index

  4. Journal of Logic Language and Information

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5