Research on restaurant recommendation using machine learning
This is an incremental overview paper for general audiences interested in understanding machine learning applications in recommender systems.
The paper provides an overview of machine learning-based recommender systems, analyzing technologies and ideas to explain big data and machine learning concepts, aiming to highlight their impact on daily life.
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.