Implementation of efficient movie recommendation system using machine learning.

People want to watch their favorite movies, so many movie services have emerged. To improve the business and reputation, these websites aim to provide entertaining content based on the interests of their customers. Service providers can improve their services by recommending videos that suit customers' preferences and increasing their likelihood of watching other videos. To achieve this goal, a machine learning based video recommendation system is proposed that uses content-based filtering by identifying similarities between different videos based on personal preferences and ratings. [ABSTRACT FROM AUTHOR]