Context-aware Explanations

Context-Aware Explanations is a type of recommendation explanation that belongs to the class of explainable recommendation methods and is distinguished by its explicit incorporation of contextual information—such as temporal, spatial, social, or situational factors—to generate more personalized, relevant, and interpretable justifications for recommended items.

40

Publications

1.7K

Citations

98

Authors

40

Institutions

Publications per year

2017–2026

23

Authors

98

  1. BY
    Brian Y. Lim

    National University of Singapore, Singapore

    4 publications · 734 citations

    4

    h-index

  2. AK
    Anind K. Dey

    Carnegie Mellon University, United States

    4 publications · 735 citations

    4

    h-index

  3. PK
    Prateek Katiyar

    University of Tübingen, Germany

    2 publications · 39 citations

    2

    h-index

  4. AM
    Alfredo Milani

    University of Perugia, Italy

    2 publications · 40 citations

    2

    h-index

  5. MM
    Mauricio Muñoz

    Massachusetts Institute of Technology, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 98

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 70 citations

    3

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Neural Computing and Applications

    1 publications · 12 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 20 citations

    1

    h-index

1–5