Online Recommendation
Online Recommendation is a recommendation paradigm that dynamically generates personalized suggestions in real time based on immediate user interactions and evolving system feedback within an interactive environment.
4.8K
Publications
305.4K
Citations
11.9K
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2.3K
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Publications per year
2017–2026
2.4K
4.8K
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang et al. · 2017 · 6.6K citations · Full text
Paul Resnick, Hal R. Varian · Communications of the ACM · 1997 · 3.7K citations · Full text
Deep Neural Networks for YouTube Recommendations
Paul Covington, Jay Adams, Emre Sargin · 2016 · 3.4K citations · Full text
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koç, Jeremiah Harmsen et al. · 2016 · 3.3K citations · Full text
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University of Science and Technology of China
Hefei, China
42 h-index
188 publications
16.6K citations
Tsinghua University
Beijing, China
42 h-index
317 publications
21.1K citations

University of Minnesota
Minneapolis, United States
37 h-index
145 publications
31.2K citations
University of Technology Sydney
Sydney, Australia
36 h-index
112 publications
8.7K citations

Zhejiang University
Hangzhou, China
33 h-index
192 publications
9.5K citations
National University of Singapore
Singapore, Singapore
33 h-index
136 publications
40.2K citations

Alibaba Group (China)
Hangzhou, China
32 h-index
275 publications
19K citations
Nanyang Technological University
Singapore, Singapore
31 h-index
131 publications
7.7K citations
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179 publications · 12.3K citations
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110 publications · 7.2K citations
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81 publications · 4.8K citations
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Repository · 134 publications · 7K citations
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45 publications · 4.1K citations
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