11 citations · 26 across the 5 of their papers we have counts for
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cs.IR2023★ 4 cited
Automatic Feature Fairness in Recommendation via Adversaries
Hengchang Hu, Yiming Cao, Zhankui He +2
Fairness is a widely discussed topic in recommender systems, but its practical implementation faces challenges in defining sensitive features while maintaining recommendation accur…
cs.IR2022★ 1 cited
Modeling and Leveraging Prerequisite Context in Recommendation
Hengchang Hu, Liangming Pan, Yiding Ran +1
Prerequisites can play a crucial role in users' decision-making yet recommendation systems have not fully utilized such contextual background knowledge. Traditional recommendation…