Breaking the Cold-Start Barrier: Reinforcement Learning with Double and Dueling DQNs

Minda Zhao

Recommender systems struggle to provide accurate suggestions to new users with limited interaction history, a challenge known as the cold-user problem. This paper proposes a reinfo…