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The Stereotyping Problem in Collaboratively Filtered Recommender Systems
23 June 2021
Wenshuo Guo
K. Krauth
Michael I. Jordan
N. Garg
Re-assign community
ArXiv (abs)
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Papers citing
"The Stereotyping Problem in Collaboratively Filtered Recommender Systems"
9 / 9 papers shown
Title
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
135
6
0
02 Sep 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
66
3
0
27 May 2024
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
Yongsu Ahn
Yu-Ru Lin
CML
59
3
0
29 Dec 2023
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
Craig Boutilier
Martin Mladenov
Guy Tennenholtz
OffRL
CML
78
10
0
08 Sep 2023
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit
Orestis Papakyriakopoulos
Severin Engelmann
Amy A. Winecoff
47
18
0
19 Feb 2023
Individual Fairness for Social Media Influencers
Ş. Ionescu
Nicolò Pagan
Anikó Hannák
FaML
48
2
0
19 Jan 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig
Nir Rosenfeld
62
4
0
24 Nov 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
77
9
0
30 Sep 2022
Supply-Side Equilibria in Recommender Systems
Meena Jagadeesan
Nikhil Garg
Jacob Steinhardt
93
37
0
27 Jun 2022
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