A systematic review of 24 feedback-loop-aware bias mitigation studies yields a six-dimension taxonomy for recommender systems, revealing that only six studies report both fairness and performance.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
A systematic review of 24 feedback-loop-aware bias mitigation studies yields a six-dimension taxonomy for recommender systems, revealing that only six studies report both fairness and performance.