  A recommender system is a system that helps users filter irrelevant
information and create user interest models based on their historical records.
With the continuous development of Internet information, recommendation systems
have received widespread attention in the industry. In this era of ubiquitous
data and information, how to obtain and analyze these data has become the
research topic of many people. In view of this situation, this paper makes some
brief overviews of machine learning-related recommendation systems. By
analyzing some technologies and ideas used by machine learning in recommender
systems, let more people understand what is Big data and what is machine
learning. The most important point is to let everyone understand the profound
impact of machine learning on our daily life.
