User Feedback Modeling
User Feedback Modeling is a computational framework that formalizes the integration and interpretation of explicit and implicit user responses to refine relevance assessments in online recommendation systems.
185
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11.4K
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537
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226
Institutions
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2017–2026
92
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Collaborative Filtering for Implicit Feedback Datasets
Yifan Hu, Yehuda Koren, Chris Volinsky · 2008 · 3.2K citations
Computing, Data Science, Data Mining +16
Predicting the “helpfulness” of online consumer reviews
Jyoti Prakash Singh, Seda Irani, Nripendra P. Rana et al. · Journal of Business Research · 2016 · 426 citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
6 h-index
22 publications
693 citations
Tsinghua University
Beijing, China
5 h-index
12 publications
422 citations

Zhejiang University
Hangzhou, China
5 h-index
11 publications
271 citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
9 publications
292 citations

Shenzhen University
Shenzhen, China
4 h-index
15 publications
243 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
8 publications
377 citations

Cornell University
Ithaca, United States
3 h-index
5 publications
89 citations

University of Glasgow
Glasgow, United Kingdom
3 h-index
7 publications
139 citations
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7 publications · 482 citations
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5 publications · 457 citations
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4 publications · 470 citations
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Repository · 4 publications · 155 citations
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