Machine Learning In Recommender Systems And Prediction Model

Recommender systems are utilized in a variety of areas and are most commonly recognized as playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms. Machine learning techniques play a central role in the development and improvement of recommender systems, which can operate using either explicit feedback or implicit feedback. This article discusses the use of machine learning in recommender systems and its impact on the quality and diversity of recommendations, user engagement, and satisfaction.