Long-term Preference Modeling
Long-Term Preference Modeling is a recommendation framework that captures users' stable and evolving behavioral patterns over extended time horizons to distinguish enduring interests from transient interactions in sequential recommendation systems.
70
Publications
6.5K
Citations
264
Authors
110
Institutions
Publications per year
2017–2026
55
Parents
70
Collaborative filtering with temporal dynamics
Yehuda Koren · 2009 · 1.2K citations
Collaborative filtering with temporal dynamics
Yehuda Koren · Communications of the ACM · 2010 · 776 citations
Temporal recommendation on graphs via long- and short-term preference fusion
Liang Xiang, Quan Yuan, Shiwan Zhao et al. · 2010 · 378 citations
Sequential Recommender System based on Hierarchical Attention Networks
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang et al. · 2018 · 369 citations · Full text
1–5 of 70
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Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 165 citations
2
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2
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1–5 of 264
110
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
219 citations
University of Science and Technology of China
Hefei, China
3 h-index
6 publications
364 citations

Alibaba Group (China)
Hangzhou, China
3 h-index
17 publications
1.1K citations

National University of Defense Technology
Changsha, China
3 h-index
9 publications
342 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
5 publications
1.1K citations
Wuhan University
Wuhan, China
3 h-index
8 publications
1.4K citations
Zhejiang University of Science and Technology
Hangzhou, China
3 h-index
7 publications
839 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
103 citations
1–8 of 110
6 publications · 146 citations
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Conference · 2 publications · 167 citations
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TKDE · 2 publications · 251 citations
2
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Conference · 2 publications · 452 citations
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2 publications · 42 citations
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