Cutting-Edge Technology in Recommender Systems

The technological development of recommender systems is changing rapidly. The research work in the field of recommender systems in academia and the application of recommendation technologies in industry promote each other, jointly promoting the vigorous development of recommender system technology. This chapter selectively introduces some of the popular frontier technologies in the field of recommender systems in recent years, including reinforcement learning, causal inference, edge intelligence, dynamic computing power allocation, and uplift models. It introduces the principles of these frontier technologies and how they are applied in recommender systems, and provides some prospects for future technological development.