Critiquing-based Recommendation

Critiquing-Based Recommendation is a conversational recommendation approach in which users refine their preferences through iterative critiques on item attributes or features, distinguishing it from non-interactive or non-sequential recommendation methods by its reliance on dynamic user feedback to guide the search for optimal recommendations.

38

Publications

1.8K

Citations

67

Authors

33

Institutions

Publications per year

2017–2026

13

Authors

67

  1. PP
    Pearl Pu

    École Polytechnique Fédérale de Lausanne, Switzerland

    11 publications · 674 citations

    11

    h-index

  2. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    10 publications · 599 citations

    10

    h-index

  3. LM
    Lorraine McGinty

    University College Dublin, Ireland

    6 publications · 209 citations

    6

    h-index

  4. BS
    Barry Smyth

    University College Dublin, Ireland

    6 publications · 209 citations

    6

    h-index

  5. JR
    J.P. Reilly

    McMaster University, Canada

    5 publications · 142 citations

    5

    h-index

1–5 of 67

Venues

  1. User Modeling and User-Adapted Interaction

    2 publications · 339 citations

    2

    h-index

  2. 1

    h-index

  3. Cognitive Systems Research

    1 publications · 15 citations

    1

    h-index

  4. AI Communications

    AICOM · 1 publications · 21 citations

    1

    h-index

  5. International Journal of Electronic Commerce

    IJEC · 1 publications · 67 citations

    1

    h-index

1–5