1 citations · 1 across the 1 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2024
User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell +3
Recommender systems serve the dual purpose of presenting relevant content to users and helping content creators reach their target audience. The dual nature of these systems natura…
cs.IR2024
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…