Next-basket Recommendation
Next-Basket Recommendation is a sequential recommendation task that predicts the set of items a user will purchase in the next shopping basket, distinguished from next-item prediction by modeling multi-item, unordered transactions in temporal sequences.
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2.2K
Citations
105
Authors
42
Institutions
Publications per year
2017–2026
27
Parents
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A Dynamic Recurrent Model for Next Basket Recommendation
Learning Hierarchical Representation Model for NextBasket Recommendation
Pengfei Wang, Jiafeng Guo, Yanyan Lan et al. · 2015 · 426 citations
Computing, Data Science, Data Mining +13
Modeling Personalized Item Frequency Information for Next-basket Recommendation
Haoji Hu, Xiangnan He, Jinyang Gao et al. · 2020 · 124 citations
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Chinese Academy of Sciences
Beijing, China
4 h-index
19 publications
5.2K citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
13 publications
506 citations
University of Technology Sydney
Sydney, Australia
3 h-index
5 publications
174 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
118 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
2 h-index
6 publications
174 citations
Institute of Computing Technology
Beijing, China
2 h-index
7 publications
2.6K citations
Université de Montréal
Montreal, Canada
2 h-index
4 publications
288 citations

University of Minnesota
Minneapolis, United States
2 h-index
4 publications
268 citations
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Repository · 2 publications · 25 citations
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2 publications · 53 citations
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2 publications · 32 citations
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Conference · 2 publications · 89 citations
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TKDE · 2 publications · 63 citations
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