Basket Recommendation
Basket Recommendation is a computational method that, within the domain of market basket analysis, specifically generates personalized item suggestions for inclusion in a user's current or future transactional basket based on patterns of co-purchased items.
22
Publications
829
Citations
76
Authors
34
Institutions
Publications per year
2017–2026
15
Variants
Basket-based RecommendationMarket Basket Recommendation
Parents
22
An Attribute-aware Neural Attentive Model for Next Basket Recommendation
Ting Bai, Jian‐Yun Nie, Wayne Xin Zhao et al. · 2018 · 97 citations
Correlation-Sensitive Next-Basket Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang · 2019 · 80 citations · Full text
Grocery shopping recommendations based on basket-sensitive random walk
Ming Li, Benjamin Dias, Ian H. Jarman et al. · 2009 · 57 citations
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34

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
79 citations
Unilever (United Kingdom)
London, United Kingdom
2 h-index
4 publications
158 citations
University of Technology Sydney
Sydney, Australia
2 h-index
3 publications
44 citations
Singapore Management University
Singapore, Singapore
2 h-index
5 publications
314 citations
Liverpool John Moores University
Liverpool, United Kingdom
2 h-index
3 publications
136 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
4 publications
64 citations
Marmara University
Istanbul, Türkiye
1 h-index
1 publications
26 citations
National Supercomputing Center in Wuxi
Wuxi, China
1 h-index
2 publications
28 citations
1–8 of 34
1 publications · 15 citations
1
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1 publications · 26 citations
1
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JoDS · 1 publications · 17 citations
1
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1 publications · 22 citations
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Conference · 1 publications · 24 citations
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