Judgment Pooling

Judgment Pooling is a method in information retrieval that aggregates relevance judgments from multiple users or sources to enhance the accuracy and robustness of ranked retrieval results.

10

Publications

518

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

24

  1. IS
    Ian Soboroff

    National Institute of Standards and Technology, United States

    3 publications · 250 citations

    3

    h-index

  2. TW
    Terry Walshe

    The University of Melbourne, Australia

    1 publications · 52 citations

    1

    h-index

  3. AM
    Anca M. Hanea

    The University of Melbourne, Australia

    1 publications · 52 citations

    1

    h-index

  4. SR
    Stephen Robertson

    Microsoft Research (United Kingdom), United Kingdom

    1 publications · 72 citations

    1

    h-index

  5. WJ
    W. John Wilbur

    National Center for Biotechnology Information, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 24

Venues

  1. ACM Transactions on Information Systems

    1 publications · 17 citations

    1

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 1 publications · 11 citations

    1

    h-index

  3. Journal of Philosophical Logic

    1 publications · 35 citations

    1

    h-index

  4. Academy of Management Journal

    AMJ · 1 publications · 45 citations

    1

    h-index

  5. Ecological Applications

    1 publications · 52 citations

    1

    h-index

1–5