Behavior Sequence Modeling
Behavior Sequence Modeling is a computational framework that captures the temporal dynamics and sequential dependencies in user-item interactions to predict future behaviors within the domain of Sequential Recommendation.
163
Publications
14.6K
Citations
585
Authors
197
Institutions
Publications per year
2017–2026
126
Parents
163
Modeling and Prediction of Human Behavior
Alex Pentland, Andrew Liu · Neural Computation · 1999 · 524 citations
What to Do Next: Modeling User Behaviors by Time-LSTM
Yu Zhu, Hao Li, Yikang Liao et al. · 2017 · 473 citations · Full text
Behavior sequence transformer for e-commerce recommendation in Alibaba
Qiwei Chen, Huan Zhao, Wei Li et al. · 2019 · 388 citations
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197

Alibaba Group (China)
Hangzhou, China
16 h-index
85 publications
25.4K citations
Tsinghua University
Beijing, China
10 h-index
19 publications
1.8K citations

Zhejiang University
Hangzhou, China
9 h-index
28 publications
4.6K citations
University of Science and Technology of China
Hefei, China
8 h-index
23 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
19 publications
1.4K citations

Peking University
Beijing, China
7 h-index
14 publications
1.8K citations

Macquarie University
Sydney, Australia
7 h-index
23 publications
3.1K citations
University of Technology Sydney
Sydney, Australia
7 h-index
12 publications
2K citations
1–8 of 197
Repository · 12 publications · 618 citations
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TKDE · 7 publications · 407 citations
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Conference · 6 publications · 1.7K citations
6
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6 publications · 357 citations
6
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Conference · 4 publications · 195 citations
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