Clickthrough Analysis

Clickthrough Analysis is a methodological construct in information retrieval that examines user interaction data, particularly the frequency and patterns of users selecting search results, to infer relevance and improve retrieval system performance.

158

Publications

14.2K

Citations

413

Authors

157

Institutions

Publications per year

2017–2026

18

Variants

Click-through Analysis

Authors

413

  1. EA
    Eugene Agichtein

    Emory University, United States

    9 publications · 984 citations

    9

    h-index

  2. TJ
    Thorsten Joachims

    Cornell University, United States

    6 publications · 3.8K citations

    6

    h-index

  3. CL
    Charles L. A. Clarke

    University of Waterloo, Canada

    6 publications · 201 citations

    6

    h-index

  4. SM
    Shaoping Ma

    Tsinghua University, China

    6 publications · 225 citations

    6

    h-index

  5. RW
    Ryen W. White

    Microsoft (United States), United States

    6 publications · 346 citations

    6

    h-index

1–5 of 413

Venues

  1. Information Sciences

    4 publications · 107 citations

    4

    h-index

  2. Expert Systems with Applications

    3 publications · 90 citations

    3

    h-index

  3. 2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 106 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 106 citations

    2

    h-index

1–5