In response to this problem, we propose to transplant reinforcement learning to build efficient and effective recommendation system. Specifically, we decide to update our recommendation system ...

Abstract: This paper introduces a Broad Learning System that gives a new paradigm and learning system without the need of deep architecture. In deep structure and learning, the abundant connecting ...