Search Satisfaction Estimation

Search Satisfaction Estimation is a systematic methodology within search log analysis that quantitatively infers the degree to which a user’s information need is fulfilled by the search results, distinguished by its reliance on behavioral and interaction signals to model user-perceived relevance and post-search outcomes.

12

Publications

987

Citations

39

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

39

  1. RW
    Ryen W. White

    Microsoft (United States), United States

    5 publications · 429 citations

    5

    h-index

  2. YL
    Yiqun Liu

    Tsinghua University, China

    2 publications · 100 citations

    2

    h-index

  3. EA
    Edmund A. Franken

    University of Iowa, United States

    2 publications · 321 citations

    2

    h-index

  4. GB
    Georg Buscher

    Microsoft (United States), United States

    2 publications · 160 citations

    2

    h-index

  5. KS
    Kevin S. Berbaum

    University of Iowa, United States

    2 publications · 321 citations

    2

    h-index

1–5 of 39

Venues

  1. Academic Radiology

    1 publications · 44 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 24 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 28 citations

    1

    h-index

  4. Investigative Radiology

    1 publications · 277 citations

    1

    h-index

1–4