Explicit User Feedback
Explicit User Feedback is a form of user input in adaptive interfaces that constitutes deliberate, conscious, and intentionally provided information by users to directly guide or correct system behavior, distinguishing it from implicit or inferred feedback derived from user actions.
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Publications
18.5K
Citations
1.2K
Authors
434
Institutions
Publications per year
2017–2026
118
Variants
Explicit Feedback
Parents
353
Attentive Collaborative Filtering
Jingyuan Chen, Hanwang Zhang, Xiangnan He et al. · 2017 · 876 citations
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang, Guokun Lai, Min Zhang et al. · 2014 · 799 citations
Guanjie Zheng, Fuzheng Zhang, Zihan Zheng et al. · 2018 · 634 citations · Full text
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434

University of Glasgow
Glasgow, United Kingdom
8 h-index
20 publications
923 citations
Tsinghua University
Beijing, China
7 h-index
22 publications
5.3K citations

University of Amsterdam
Amsterdam, The Netherlands
7 h-index
18 publications
708 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
11 publications
527 citations
Texas A&M University
College Station, United States
5 h-index
10 publications
515 citations
Google (United States)
Mountain View, United States
5 h-index
10 publications
511 citations
Microsoft (United States)
Redmond, United States
5 h-index
9 publications
371 citations
University College London
London, United Kingdom
4 h-index
12 publications
326 citations
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Repository · 7 publications · 193 citations
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7 publications · 272 citations
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Repository · 3 publications · 53 citations
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2 publications · 86 citations
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JWL · 2 publications · 29 citations
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