Information Retrieval Quality

Information Retrieval Quality is a scholarly construct that denotes the degree to which a retrieval system effectively and accurately delivers relevant information in response to user queries, distinguished from related assessment concepts by its focus on the precision, completeness, and usability of retrieved results within a given information-seeking context.

210

Publications

16.1K

Citations

500

Authors

236

Institutions

Publications per year

2017–2026

28

Authors

500

  1. NF
    Norbert Fuhr

    University of Duisburg-Essen, Germany

    9 publications · 754 citations

    9

    h-index

  2. NF
    Nicola Ferro

    University of Padua, Italy

    5 publications · 161 citations

    5

    h-index

  3. EY
    Elad Yom‐Tov

    Microsoft (Israel), Israel

    4 publications · 426 citations

    4

    h-index

  4. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    4 publications · 169 citations

    4

    h-index

  5. SK
    Shirlee-ann Knight

    Edith Cowan University, Australia

    4 publications · 514 citations

    4

    h-index

1–5 of 500

Venues

  1. Information Processing & Management

    13 publications · 432 citations

    12

    h-index

  2. 6

    h-index

  3. Journal of Documentation

    5 publications · 578 citations

    5

    h-index

  4. ACM SIGIR Forum

    4 publications · 154 citations

    4

    h-index

  5. Journal of the American Society for Information Science

    JASIS · 4 publications · 355 citations

    4

    h-index

1–5