Explainable Group Recommendation

Explainable Group Recommendation is a group recommendation approach that enhances collective decision-making by providing transparent justifications for suggested items, distinguishing itself through the integration of explainability mechanisms that clarify how individual preferences are aggregated and influence the final recommendations.

7

Publications

195

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

6

Authors

20

  1. NT
    Nava Tintarev

    Delft University of Technology, Netherlands

    4 publications · 79 citations

    4

    h-index

  2. SN
    Shabnam Najafian

    Delft University of Technology, Netherlands

    4 publications · 79 citations

    4

    h-index

  3. SF
    Shanshan Feng

    Harbin Institute of Technology, China

    2 publications · 42 citations

    2

    h-index

  4. OI
    Oana Inel

    Delft University of Technology, Netherlands

    2 publications · 33 citations

    2

    h-index

  5. LW
    Lei Wang

    Shandong University, China

    1 publications · 20 citations

    1

    h-index

1–5 of 20

Venues

  1. Multimedia Tools and Applications

    1 publications · 22 citations

    1

    h-index

  2. Knowledge-Based Systems

    1 publications · 20 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 74 citations

    1

    h-index

  4. User Modeling and User-Adapted Interaction

    1 publications · 19 citations

    1

    h-index

1–4