Clickstream Analysis
Clickstream Analysis is a computational method within educational data mining and web analytics that systematically records, models, and interprets the sequential traces of user interactions with digital learning environments to infer behavioral patterns, navigational strategies, and engagement dynamics.
917
Publications
65.6K
Citations
2.7K
Authors
737
Institutions
Publications per year
2017–2026
312
917
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou, Xiaoqiang Zhu, Chenru Song et al. · 2018 · 2K citations
Web data mining: exploring hyperlinks, contents, and usage data
Choice Reviews Online · 2012 · 1.2K citations
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu et al. · 2017 · 1.1K citations · Full text
Matthew Richardson, Ewa Dominowska, Robert Ragno · 2007 · 1.1K citations
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737
Microsoft (United States)
Redmond, United States
25 h-index
91 publications
13K citations
Yahoo (United States)
Sunnyvale, United States
20 h-index
87 publications
5K citations
Carnegie Mellon University
Pittsburgh, United States
18 h-index
35 publications
6.3K citations
Tsinghua University
Beijing, China
16 h-index
50 publications
1.8K citations

Alibaba Group (China)
Hangzhou, China
15 h-index
88 publications
27.9K citations
Google (United States)
Mountain View, United States
14 h-index
56 publications
19.1K citations
Microsoft Research Asia (China)
Beijing, China
12 h-index
47 publications
2.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
11 h-index
19 publications
7.5K citations
1–8 of 737
Repository · 21 publications · 824 citations
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11 publications · 456 citations
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11 publications · 291 citations
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Conference · 10 publications · 1.6K citations
10
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8 publications · 679 citations
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