User Representation Learning
User Representation Learning is a computational methodology within user modeling that, by contrast to general data representation techniques, specifically focuses on automatically discovering and encoding latent user characteristics from behavioral, demographic, or contextual data into structured, low-dimensional embeddings that preserve predictive and interpretable user traits for downstream personalization tasks.
172
Publications
9.8K
Citations
671
Authors
182
Institutions
Publications per year
2017–2026
142
Parents
172
Contrastive Learning for Sequential Recommendation
Xu Xie, Fei Sun, Zhaoyang Liu et al. · 2022 IEEE 38th International Conference on Data Engineering (ICDE) · 2022 · 607 citations · Full text
Sequential Recommender System based on Hierarchical Attention Networks
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang et al. · 2018 · 369 citations · Full text
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chao Li, Zhiyuan Liu, Mengmeng Wu et al. · 2019 · 354 citations
Neural News Recommendation with Long- and Short-term User Representations
Mingxiao An, Fangzhao Wu, Chuhan Wu et al. · 2019 · 331 citations · Full text
1–5 of 172
671
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182
Tsinghua University
Beijing, China
15 h-index
33 publications
2.9K citations
Microsoft Research Asia (China)
Beijing, China
15 h-index
35 publications
4.6K citations
Tencent (China)
Shenzhen, China
13 h-index
45 publications
1.9K citations
University of Science and Technology of China
Hefei, China
11 h-index
19 publications
1.9K citations

University of Electronic Science and Technology of China
Chengdu, China
9 h-index
26 publications
1.6K citations

Peking University
Beijing, China
8 h-index
14 publications
2.7K citations

Alibaba Group (China)
Hangzhou, China
7 h-index
38 publications
7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
17 publications
460 citations
1–8 of 182
Repository · 9 publications · 232 citations
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Conference · 8 publications · 318 citations
7
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4 publications · 112 citations
4
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TKDE · 4 publications · 181 citations
4
h-index
4 publications · 302 citations
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