Publication
Spending 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.
Berend Smit, Xiaoqi Zhang, Sauradeep Majumdar, Hyunsoo Park
Francesco Mondada, Alexandre Massoud Alahi, Vaios Papaspyros