Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning

Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych +4

Auction-based recommender systems are prevalent in online advertising platforms, but they are typically optimized to allocate recommendation slots based on immediate expected retur…