Implicit Social Feedback
Implicit Social Feedback is a recommendation system input construct that captures users' indirect, behavior-derived indicators of social influence or relational affinity, such as co-following patterns or temporal interaction proximities, without explicit declarations of social connections or preferences.
26
Publications
1.3K
Citations
103
Authors
62
Institutions
Publications per year
2017–2026
12
Parents
26
Mechanisms of Diminished Attention to Eyes in Autism
Jennifer M. Moriuchi, Ami Klin, Warren Jones · American Journal of Psychiatry · 2016 · 205 citations · Full text
Medicine, Psychology, Vision Science +16
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, SeongKu Kang, Hyunjun Ju et al. · 2021 · 114 citations
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou, Aixin Sun, Yong Liu et al. · ACM Transactions on Recommender Systems · 2023 · 86 citations · Full text
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62
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
4 publications
153 citations
Florida International University
Miami, United States
2 h-index
3 publications
91 citations

Peking University
Beijing, China
1 h-index
3 publications
63 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
62 citations
Stanford University
Stanford, United States
1 h-index
1 publications
62 citations

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
1 h-index
9 publications
315 citations
Hospital César Milstein
Buenos Aires, Argentina
1 h-index
1 publications
35 citations

Southeast University
Nanjing, China
1 h-index
2 publications
42 citations
1–8 of 62
1 publications · 86 citations
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1 publications · 13 citations
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Conference · 1 publications · 75 citations
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1 publications · 26 citations
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1 publications · 35 citations
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