Concepedia

Click-through Data Modeling

Click-Through Data Modeling is a computational framework that formalizes the representation and analysis of user interaction signals, particularly the binary or graded indication of user engagement with items in ranked lists, to infer relevance preferences under the assumption of implicit feedback.

80

Publications

5.4K

Citations

311

Authors

108

Institutions

Publications per year

2017–2026

30

Parents

Publications

80

Predicting clicks

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

, , +17

Ad click prediction

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

, , +17

Click Models for Web Search

Aleksandr Chuklin, Ilya Markov, Maarten de Rijke · Synthesis lectures on information concepts, retrieval, and services · 2015 · 265 citations

, , +14

Revenue analysis of a family of ranking rules for keyword auctions

Sébastien Lahaie, David M. Pennock · 2007 · 172 citations

, , +17

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

2018 · 170 citations · Full text

, , +13

1–5 of 80

Authors

311

  1. TM
    Tao Mei

    Microsoft Research Asia (China), China

    5 publications · 307 citations

    5

    h-index

  2. TY
    Ting Yao

    University of Science and Technology of China, China

    3 publications · 144 citations

    3

    h-index

  3. CN
    Chong‐Wah Ngo

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 144 citations

    3

    h-index

  4. HR
    Hema Raghavan

    University of Massachusetts Amherst, United States

    2 publications · 45 citations

    2

    h-index

  5. DS
    Dou Shen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 42 citations

    2

    h-index

1–5 of 311

Institutions

108

  1. Yahoo (United States)

    Sunnyvale, United States

    11 h-index

    25 publications

    1.2K citations

  2. Microsoft Research Asia (China)

    Beijing, China

    10 h-index

    30 publications

    1.4K citations

  3. Microsoft (United States)

    Redmond, United States

    10 h-index

    25 publications

    3.9K citations

  4. Tsinghua University

    Beijing, China

    8 h-index

    20 publications

    892 citations

  5. Alibaba Group (China)

    Hangzhou, China

    4 h-index

    13 publications

    461 citations

  6. Google (United States)

    Mountain View, United States

    3 h-index

    19 publications

    14.4K citations

  7. University of Science and Technology of China

    Hefei, China

    3 h-index

    9 publications

    282 citations

  8. City University of Hong Kong

    Hong Kong, Hong Kong

    3 h-index

    4 publications

    160 citations

1–8 of 108

Venues

  1. Information Sciences

    3 publications · 62 citations

    3

    h-index

  2. Neurocomputing

    2 publications · 29 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 92 citations

    2

    h-index

  4. IEEE Access

    2 publications · 29 citations

    2

    h-index

  5. ACM Transactions on Information Systems

    1 publications · 24 citations

    1

    h-index

1–5