Binary Relevance

Binary Relevance is a relevance judgment scheme in information retrieval that categorizes document relevance as strictly either relevant or non-relevant, without intermediate gradations.

109

Publications

6.5K

Citations

312

Authors

162

Institutions

Publications per year

2017–2026

53

Authors

312

  1. HL
    Hsuan-Tien Lin

    National Taiwan University, Taiwan

    4 publications · 345 citations

    4

    h-index

  2. TK
    Tomasz Kajdanowicz

    Wrocław University of Science and Technology, Poland

    4 publications · 142 citations

    4

    h-index

  3. LB
    Linas Baltrunas

    Telefonica Research and Development, Spain

    3 publications · 383 citations

    3

    h-index

  4. ML
    Martha Larson

    Delft University of Technology, Netherlands

    3 publications · 383 citations

    3

    h-index

  5. PS
    Piotr Szymański

    Wrocław University of Science and Technology, Poland

    3 publications · 115 citations

    3

    h-index

1–5 of 312

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 246 citations

    6

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 114 citations

    3

    h-index

  4. IEEE Access

    2 publications · 84 citations

    2

    h-index

  5. 2

    h-index

1–5