FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms

Guoli Wu, Zhiyong Feng, Shizhan Chen +6

Traditional recommendation systems focus on maximizing user satisfaction by suggesting their favourite items. This user-centric approach may lead to unfair exposure distribution am…