Search Model Validation

Search Model Validation is a methodological process within the field of information retrieval that systematically evaluates the accuracy, reliability, and generalizability of a search model by comparing its predicted outcomes against empirical user behavior or established ground truth data under controlled experimental conditions.

13

Publications

985

Citations

43

Authors

26

Institutions

Publications per year

2017–2026

0

Authors

43

  1. ML
    Morten L. Bech

    Bank for International Settlements, Switzerland

    1 publications · 71 citations

    1

    h-index

  2. MS
    Masaru Sasaki

    Hiroshima University, Japan

    1 publications · 11 citations

    1

    h-index

  3. NJ
    Nicholas J. Belkin

    Rutgers, The State University of New Jersey, United States

    1 publications · 37 citations

    1

    h-index

  4. MC
    Michael Cole

    Rutgers, The State University of New Jersey, United States

    1 publications · 37 citations

    1

    h-index

  5. IT
    Ivan Teo

    University of Illinois Urbana-Champaign, United States

    1 publications · 168 citations

    1

    h-index

1–5 of 43

Venues

  1. Nature Materials

    1 publications · 278 citations

    1

    h-index

  2. 1

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 33 citations

    1

    h-index

  4. The Review of Economic Studies

    1 publications · 94 citations

    1

    h-index

  5. Theory and Decision

    1 publications · 11 citations

    1

    h-index

1–5