Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation

Chengpeng Li, Zhengyi Yang, Jizhi Zhang +4

Reinforcement learning (RL) has been widely applied in recommendation systems due to its potential in optimizing the long-term engagement of users. From the perspective of RL, reco…