Transparent Recommendation Models

Transparent Recommendation Models is a class of recommendation systems that belong to the broader category of explainable artificial intelligence, distinguished by their inherent design to make the reasoning process behind recommended items fully interpretable and accessible to users without relying on post-hoc explanation techniques.

25

Publications

1.7K

Citations

83

Authors

33

Institutions

Publications per year

2017–2026

18

Variants

Transparent Recommendation

Authors

83

  1. SJ
    Shoeb Joarder

    University of Duisburg-Essen, Germany

    4 publications · 95 citations

    4

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  2. MG
    Mouadh Guesmi

    University of Duisburg-Essen, Germany

    4 publications · 95 citations

    4

    h-index

  3. MA
    Mohamed Amine Chatti

    University of Duisburg-Essen, Germany

    4 publications · 95 citations

    4

    h-index

  4. LV
    Laura Vorgerd

    University of Duisburg-Essen, Germany

    3 publications · 74 citations

    3

    h-index

  5. JZ
    Jürgen Ziegler

    University of Duisburg-Essen, Germany

    3 publications · 111 citations

    3

    h-index

1–5 of 83

Venues

  1. 1

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  2. 1

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  3. Proceedings of the ACM Web Conference 2022

    Conference · 1 publications · 30 citations

    1

    h-index

  4. IEEE Access

    1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5