Concepedia

Click-through Modeling

Click-Through Modeling is a computational framework within information retrieval that distinguishes itself by predicting user interaction patterns with search results based on observable behavioral signals, such as query inputs and document click sequences, to infer relevance and improve ranking personalization in enterprise and personalized search environments.

161

Publications

10.9K

Citations

558

Authors

159

Institutions

Publications per year

2017–2026

68

Variants

Ctr Modeling

Parents

Publications

161

Predicting clicks

Matthew Richardson, Ewa Dominowska, Robert Ragno · 2007 · 1.1K citations

, , +17

Practical Lessons from Predicting Clicks on Ads at Facebook

Xinran He, Junfeng Pan, Ou Jin et al. · 2014 · 882 citations

, , +13

Ad click prediction

H. Brendan McMahan, Gary D. Holt, D. Sculley et al. · 2013 · 880 citations · Full text

, , +17

A dynamic bayesian network click model for web search ranking

Olivier Chapelle, Ya Zhang · 2009 · 543 citations

, , +16

Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine

Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert et al. · 2010 · 460 citations

, , +16

1–5 of 161

Authors

558

  1. SM
    Shaoping Ma

    Tsinghua University, China

    10 publications · 382 citations

    10

    h-index

  2. YL
    Yiqun Liu

    Tsinghua University, China

    9 publications · 327 citations

    9

    h-index

  3. XH
    Xiuqiang He

    Huawei Technologies (China), China

    7 publications · 304 citations

    7

    h-index

  4. MZ
    Min Zhang

    Tsinghua University, China

    7 publications · 292 citations

    7

    h-index

  5. RT
    Ruiming Tang

    Huawei Technologies (China), China

    6 publications · 194 citations

    6

    h-index

1–5 of 558

Institutions

159

  1. Tsinghua University

    Beijing, China

    14 h-index

    45 publications

    1.7K citations

  2. Yahoo (United States)

    Sunnyvale, United States

    13 h-index

    46 publications

    3K citations

  3. Microsoft Research Asia (China)

    Beijing, China

    11 h-index

    34 publications

    1.1K citations

  4. Microsoft (United States)

    Redmond, United States

    11 h-index

    23 publications

    3.9K citations

  5. Huawei Technologies (China)

    Shenzhen, China

    8 h-index

    28 publications

    1.2K citations

  6. Alibaba Group (China)

    Hangzhou, China

    7 h-index

    40 publications

    3.3K citations

  7. Yahoo (United Kingdom)

    London, United Kingdom

    6 h-index

    9 publications

    287 citations

  8. Chinese Academy of Sciences

    Beijing, China

    6 h-index

    12 publications

    313 citations

1–8 of 159

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 192 citations

    7

    h-index

  2. Information Sciences

    4 publications · 82 citations

    4

    h-index

  3. Expert Systems with Applications

    3 publications · 259 citations

    3

    h-index

  4. Management Science

    3 publications · 144 citations

    3

    h-index

  5. IEEE Access

    3 publications · 49 citations

    3

    h-index

1–5