Click-through Analysis

Click-Through Analysis is a methodological framework within search log analysis that examines user interactions with search results by quantifying and interpreting the frequency and patterns of clicks on indexed items in response to specific queries.

374

Publications

19.5K

Citations

1.2K

Authors

377

Institutions

Publications per year

2017–2026

131

Authors

1.2K

  1. SM
    Shaoping Ma

    Tsinghua University, China

    8 publications · 341 citations

    8

    h-index

  2. YL
    Yiqun Liu

    Tsinghua University, China

    8 publications · 341 citations

    8

    h-index

  3. TL
    Tie‐Yan Liu

    Microsoft Research Asia (China), China

    7 publications · 582 citations

    7

    h-index

  4. RT
    Ruiming Tang

    Huawei Technologies (China), China

    7 publications · 406 citations

    7

    h-index

  5. NC
    Nick Craswell

    Microsoft (United States), United States

    7 publications · 334 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 436 citations

    10

    h-index

  2. Information Sciences

    8 publications · 221 citations

    8

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 468 citations

    7

    h-index

  4. IEEE Access

    7 publications · 204 citations

    7

    h-index

  5. Journal of Marketing Research

    5 publications · 273 citations

    5

    h-index

1–5