Real-Time Recommendation is a recommendation paradigm that belongs to the broader class of online recommendation systems, distinguished by its requirement to generate personalized suggestions instantaneously in response to user interactions with minimal latency.
183
Publications
9.6K
Citations
677
Authors
223
Institutions
Publications per year
2017–2026
91
Parents
Publications
183
Using twitter to recommend real-time topical news
Owen Phelan, Kevin McCarthy, Barry Smyth · 2009 · 428 citations · Full text
Deep reinforcement learning for page-wise recommendations
Xiangyu Zhao, Long Xia, Liang Zhang et al. · 2018 · 415 citations · Full text
Zeno Gantner, Steffen Rendle, Christoph Freudenthaler et al. · 2011 · 372 citations
1–5 of 183
Authors
677
- BS
6
h-index
- BC
4
h-index
- WO
3
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3
h-index
- JT
3
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1–5 of 677
Institutions
223
Peking University
Beijing, China
7 h-index
20 publications
1.3K citations
University College Dublin
Dublin, Ireland
7 h-index
20 publications
3.4K citations
Zhejiang University
Hangzhou, China
5 h-index
11 publications
416 citations
Tencent (China)
Shenzhen, China
5 h-index
23 publications
913 citations
University of Electronic Science and Technology of China
Chengdu, China
4 h-index
8 publications
395 citations
National University of Singapore
Singapore, Singapore
4 h-index
5 publications
267 citations
Tsinghua University
Beijing, China
4 h-index
12 publications
220 citations
Graz University of Technology
Graz, Austria
3 h-index
10 publications
560 citations
1–8 of 223
Venues
- arXiv (Cornell University)
Repository · 6 publications · 131 citations
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- Knowledge-Based Systems
4 publications · 198 citations
4
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- Information Sciences
3 publications · 123 citations
3
h-index
- Expert Systems with Applications
3 publications · 156 citations
3
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- IEEE Transactions on Services Computing
2 publications · 58 citations
2
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1–5