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
158
Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao et al. · 2013 · 2.1K citations
Accurately interpreting clickthrough data as implicit feedback
Thorsten Joachims, Laura Granka, Bing Pan et al. · 2005 · 1.4K citations
Eye-tracking analysis of user behavior in WWW search
Laura Granka, Thorsten Joachims, Geri Gay · 2004 · 700 citations
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
Yelong Shen, Xiaodong He, Jianfeng Gao et al. · 2014 · 687 citations
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157
Microsoft (United States)
Redmond, United States
18 h-index
23 publications
4.3K citations
Yahoo (United States)
Sunnyvale, United States
12 h-index
14 publications
607 citations
Tsinghua University
Beijing, China
9 h-index
9 publications
686 citations
Microsoft Research Asia (China)
Beijing, China
8 h-index
8 publications
853 citations

Cornell University
Ithaca, United States
8 h-index
8 publications
4K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
8 publications
3K citations
Emory University
Atlanta, United States
8 h-index
8 publications
515 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
7 publications
256 citations
1–8 of 157
4 publications · 107 citations
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3 publications · 90 citations
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JASIST · 2 publications · 71 citations
2
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Repository · 2 publications · 106 citations
2
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Conference · 2 publications · 106 citations
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