Unbiased Evaluation

Unbiased Evaluation is a methodological framework in recommendation system assessment that systematically eliminates favoritism toward specific algorithms, datasets, or metrics, thereby ensuring that performance comparisons are determined solely by the intrinsic effectiveness of the evaluated methods under consistent and equitable conditions.

1.7K

Publications

170.8K

Citations

5.9K

Authors

2K

Institutions

Publications per year

2017–2026

475

Authors

5.9K

  1. HJ
    H. J. G. Gundersen

    Aarhus University, Denmark

    6 publications · 5K citations

    6

    h-index

  2. TJ
    Thorsten Joachims

    Cornell University, United States

    5 publications · 418 citations

    5

    h-index

  3. MS
    Masashi Sugiyama

    Tokyo Institute of Technology, Japan

    4 publications · 175 citations

    4

    h-index

  4. CV
    C. V. Howard

    University of Liverpool, United Kingdom

    4 publications · 360 citations

    4

    h-index

  5. AS
    Adith Swaminathan

    Cornell University, United States

    4 publications · 214 citations

    4

    h-index

1–5 of 5.9K

Venues

  1. PubMed

    Repository · 31 publications · 1.5K citations

    21

    h-index

  2. arXiv (Cornell University)

    Repository · 32 publications · 1.2K citations

    21

    h-index

  3. SSRN Electronic Journal

    Repository · 30 publications · 951 citations

    19

    h-index

  4. PLoS ONE

    20 publications · 2.9K citations

    17

    h-index

  5. Journal of Microscopy

    16 publications · 9.4K citations

    14

    h-index

1–5