most citedFairFS: Addressing Deep Feature Selection Biases for Recommender System

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2026★ 2 cited

FairFS: Addressing Deep Feature Selection Biases for Recommender System

Xianquan Wang, Zhaocheng Du, Jieming Zhu +3

Large-scale online marketplaces and recommender systems serve as critical technological support for e-commerce development. In industrial recommender systems, features play vital r…