DataFunSummit
Jul 5, 2023 · Artificial Intelligence
Fairness in Recommendation Systems: Consumer and Provider Perspectives
This article examines the fairness of recommendation systems from both consumer and provider viewpoints, discussing sources of bias, definitions of equality and equity, measurement metrics such as CGF and MMF, causal embedding techniques, experimental results on MovieLens and Yelp, and future research directions.
Recommendation systemsartificial intelligencecausal inference
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