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Correcting the User Feedback-Loop Bias for Recommendation Systems

Correcting the User Feedback-Loop Bias for Recommendation Systems

13 September 2021
Weishen Pan
Sen Cui
Hongyi Wen
Kun Chen
Changshui Zhang
Fei Wang
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Papers citing "Correcting the User Feedback-Loop Bias for Recommendation Systems"

2 / 2 papers shown
Title
Tackling Interference Induced by Data Training Loops in A/B Tests: A
  Weighted Training Approach
Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
Nian Si
19
4
0
26 Oct 2023
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
314
0
30 Oct 2017
1