Movie Recommender System Using Content-based and Collaborative Filtering

One of the most effective and widely used applications of machine learning technologies in business is recommender systems. Machine learning algorithms from the field of artificial intelligence have recently been used in these systems. Many varieties of movies have become increasingly diverse as technology and entertainment development have advanced, leaving users perplexed as to how to choose amongst them. The main aim of a movie recommendation system is to deal with a recommender approach using data clustering and computational intelligence. This recommender system’s goal is to acquire insights based on the user ‘s choices and to achieve customer satisfaction by presenting effective findings and optimizing the time a user spends on the website or platform.