Concepedia

Explainable Filtering

Explainable Filtering is an information filtering approach that enables transparency and interpretability in the decision-making process by providing human-understandable justifications for why certain items are selected or recommended to users.

2

Publications

49

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

4

  1. RA
    Reinald Adrian Pugoy

    University of the Philippines Open University, Philippines

    1 publications · 21 citations

    1

    h-index

  2. HK
    Hung‐Yu Kao

    National Cheng Kung University, Taiwan

    1 publications · 21 citations

    1

    h-index

  3. SN
    Sayooran Nagulendra

    University of Saskatchewan, Canada

    1 publications · 28 citations

    1

    h-index

  4. JV
    Julita Vassileva

    University of Saskatchewan, Canada

    1 publications · 28 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. University of the Philippines Open University

    Los Baños, Philippines

    1 h-index

    1 publications

    21 citations

  2. University of Saskatchewan

    Saskatoon, Canada

    1 h-index

    2 publications

    56 citations

  3. National Cheng Kung University

    Tainan City, Taiwan

    1 h-index

    2 publications

    42 citations

1–3 of 3

Venues

  1. Information Systems Frontiers

    1 publications · 28 citations

    1

    h-index

1–1