Fairness-aware Recommendation
Fairness-Aware Recommendation is a recommendation approach that, as a member of the class of multi-stake游戏副本
104
Publications
5.2K
Citations
327
Authors
129
Institutions
Publications per year
2017–2026
99
104
User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu et al. · 2021 · 207 citations · Full text
Towards Long-term Fairness in Recommendation
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao et al. · 2021 · 192 citations · Full text
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao et al. · 2020 · 190 citations
1–5 of 104
327
11
h-index
Rutgers, The State University of New Jersey, United States
10 publications · 1K citations
10
h-index
Rutgers, The State University of New Jersey, United States
10 publications · 943 citations
10
h-index
6
h-index
5
h-index
1–5 of 327
129
Rutgers, The State University of New Jersey
New Brunswick, United States
10 h-index
56 publications
6.1K citations
University of Colorado Boulder
Boulder, United States
6 h-index
22 publications
821 citations
University of Technology Sydney
Sydney, Australia
6 h-index
9 publications
253 citations

University of Ioannina
Ioannina, Greece
5 h-index
8 publications
201 citations
Tsinghua University
Beijing, China
5 h-index
12 publications
1K citations

Polytechnic University of Bari
Bari, Italy
5 h-index
9 publications
894 citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
13 publications
612 citations

University of Cagliari
Cagliari, Italy
5 h-index
11 publications
331 citations
1–8 of 129
Repository · 10 publications · 338 citations
10
h-index
Conference · 5 publications · 267 citations
5
h-index
5 publications · 163 citations
4
h-index
TIST · 3 publications · 211 citations
3
h-index
Conference · 3 publications · 58 citations
3
h-index
1–5