The Role of Machine Learning in Recommender Systems

Introduction

In recent years, recommender systems have become an integral part of our daily lives. From online shopping platforms to streaming services, these systems play a crucial role in helping users discover new products, movies, music, and more. With the exponential growth of available data and the increasing complexity of user preferences, traditional rule-based recommender systems have faced limitations in providing accurate and personalized recommendations. This has led to the emergence of machine learning techniques in the field of recommender systems. In this article, we will explore the role of machine learning in enhancing the effectiveness and efficiency of recommender systems.