Islambouli, RaniaIngram, SandyGillet, Denis2021-11-202021-11-202021-10-0510.1145/3468143.3483931https://infoscience.epfl.ch/handle/20.500.14299/183165Spending an uncontrolled quantity and quality of time on digital information sites is affecting our well-being and can lead to serious problems in the long term. In this paper, we present a sequential recommendation framework that uses deep reinforcement learning to capture the users' short and long-term interests, with a proposed use case of blending social news with recommended micro-learning informative news items that can help users derive useful outcomes out of their presence online.news recommendationmicro-learningdeep reinforcement learningsocial mediatext::conference output::conference proceedings::conference paper