Relevance Judgments

Relevance Judgments is a qualitative assessment process in information retrieval whereby human or automated evaluators determine the degree of correspondence between retrieved documents and the informational needs expressed in queries, distinguished by its reliance on explicit criteria to classify relevance at the document level.

756

Publications

68K

Citations

1.4K

Authors

542

Institutions

Publications per year

2017–2026

126

Authors

1.4K

  1. BC
    Ben Carterette

    University of Delaware, United States

    17 publications · 1.2K citations

    16

    h-index

  2. SM
    Stefano Mizzaro

    University of Udine, Italy

    14 publications · 1.4K citations

    14

    h-index

  3. TJ
    Thorsten Joachims

    Cornell University, United States

    12 publications · 8.2K citations

    12

    h-index

  4. OK
    Oren Kurland

    Technion – Israel Institute of Technology, Israel

    11 publications · 341 citations

    11

    h-index

  5. EY
    Emine Yılmaz

    University College London, United Kingdom

    12 publications · 1.1K citations

    11

    h-index

1–5 of 1.4K

Venues

  1. Journal of the American Society for Information Science

    JASIS · 35 publications · 3.8K citations

    28

    h-index

  2. 23

    h-index

  3. Information Processing & Management

    27 publications · 2.7K citations

    21

    h-index

  4. ACM Transactions on Information Systems

    16 publications · 7.2K citations

    14

    h-index

  5. Journal of Documentation

    14 publications · 1.1K citations

    13

    h-index

1–5