Rating Prediction
Rating Prediction is a computational task in recommendation systems that belongs to the class of predictive modeling problems, specifically distinguished by its objective of estimating a user’s numerical rating for an item based on historical user-item interactions and preferences.
960
Publications
63.3K
Citations
2.6K
Authors
875
Institutions
Publications per year
2017–2026
450
960
Hidden factors and hidden topics
Julian McAuley, Jure Leskovec · 2013 · 1.6K citations
Performance of recommender algorithms on top-n recommendation tasks
Paolo Cremonesi, Yehuda Koren, Roberto Turrin · 2010 · 1.4K citations
Relational learning via collective matrix factorization
Ajit Singh, Geoffrey J. Gordon · 2008 · 1.2K citations
Heterogeneous Information Network Embedding for Recommendation
Chuan Shi, Binbin Hu, Wayne Xin Zhao et al. · IEEE Transactions on Knowledge and Data Engineering · 2018 · 1.2K citations
1–5 of 960
2.6K
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875
Tsinghua University
Beijing, China
17 h-index
73 publications
5K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
42 publications
1.6K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
14 h-index
41 publications
3.8K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
27 publications
5.3K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
32 publications
1.9K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
27 publications
2.9K citations
Wuhan University
Wuhan, China
12 h-index
45 publications
3.1K citations

University of Minnesota
Minneapolis, United States
12 h-index
39 publications
7K citations
1–8 of 875
44 publications · 1.5K citations
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Repository · 28 publications · 1.3K citations
18
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TKDE · 15 publications · 2.5K citations
14
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Conference · 11 publications · 596 citations
11
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12 publications · 429 citations
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