Document Relevance

Document Relevance is a measure within information retrieval that assesses the degree to which a document satisfies the informational needs expressed in a user's query, distinguished by its focus on topicality, usefulness, and alignment with the user's implicit or explicit intent.

266

Publications

19.8K

Citations

581

Authors

211

Institutions

Publications per year

2017–2026

42

Variants

Document Relevancy

Parents

Authors

581

  1. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    10 publications · 1.9K citations

    10

    h-index

  2. RW
    Ryen W. White

    Microsoft (United States), United States

    9 publications · 394 citations

    9

    h-index

  3. NC
    Nick Craswell

    Microsoft (United States), United States

    6 publications · 420 citations

    6

    h-index

  4. EY
    Emine Yılmaz

    University College London, United Kingdom

    6 publications · 322 citations

    6

    h-index

  5. JC
    Jamie Callan

    Carnegie Mellon University, United States

    5 publications · 821 citations

    5

    h-index

1–5 of 581

Venues

  1. 13

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 13 publications · 1.6K citations

    13

    h-index

  3. ACM Transactions on Information Systems

    8 publications · 1.2K citations

    8

    h-index

  4. Journal of Documentation

    7 publications · 1.8K citations

    7

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 198 citations

    6

    h-index

1–5