Multi-interest Modeling
Multi-Interest Modeling is a recommendation modeling approach that captures a user’s diverse and potentially time-varying interests within a unified representation framework by disentangling multiple distinct preference vectors from sequential interaction data.
46
Publications
2.4K
Citations
207
Authors
68
Institutions
Publications per year
2017–2026
36
Parents
46
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chao Li, Zhiyuan Liu, Mengmeng Wu et al. · 2019 · 354 citations
Controllable Multi-Interest Framework for Recommendation
Yukuo Cen, Jianwei Zhang, Xu Zou et al. · 2020 · 308 citations
Deep Multi-Interest Network for Click-through Rate Prediction
Zhibo Xiao, Luwei Yang, Wen Jiang et al. · 2020 · 114 citations
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68

Alibaba Group (China)
Hangzhou, China
6 h-index
27 publications
4.7K citations
Tsinghua University
Beijing, China
5 h-index
15 publications
1.3K citations

Beihang University
Beijing, China
4 h-index
9 publications
812 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
6 publications
537 citations

Renmin University of China
Beijing, China
3 h-index
5 publications
336 citations
Wuhan University
Wuhan, China
3 h-index
6 publications
341 citations

Zhejiang University
Hangzhou, China
3 h-index
11 publications
541 citations
University of Technology Sydney
Sydney, Australia
3 h-index
3 publications
432 citations
1–8 of 68
3 publications · 211 citations
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3 publications · 256 citations
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Repository · 3 publications · 89 citations
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Conference · 3 publications · 47 citations
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Conference · 2 publications · 51 citations
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