1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2024★ 1 cited
Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels
Yulong Dong, Kun Jin, Xinghai Hu +1
In large-scale recommendation systems, the vast array of items makes it infeasible to obtain accurate user preferences for each product, resulting in a common issue of missing labe…
cs.LG2024★ 1 cited
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin, Tian Xie, Yang Liu +1
In many real-world applications of machine learning such as recommendations, hiring, and lending, deployed models influence the data they are trained on, leading to feedback loops…