A General Framework for Fairness in Multistakeholder Recommendations

no code implementations • 4 Sep 2020 • Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda

Contemporary recommender systems act as intermediaries on multi-sided platforms serving high utility recommendations from sellers to buyers.

Fairness Recommendation Systems

Learn to Earn: Enabling Coordination within a Ride Hailing Fleet

no code implementations • 19 Jun 2020 • Harshal A. Chaudhari, John W. Byers, Evimaria Terzi

In contrast, computer scientists primarily view it as a demand prediction problem with the goal of preemptively repositioning supply to such neighborhoods using black box coordinated multi agent deep reinforcement learning based approaches.

reinforcement-learning Reinforcement Learning (RL)