Review of Movie Recommendation System using Machine Learning

A recommendation predicts a consumer's preference for a product that has not yet been recommendations is to predict the interests of users and recommend product they want. Movie recommendations uses a variety of filters and techniques to help users find the most relevant videos. From a business perspective, the more important information or videos a user sees on a platform, the higher their engagement and therefore their revenue. Content based filtering, collaborative filtering, and hybrid filtering are the most commonly used subcategories of machine learning algorithms for video recommendation.We can build models where can use machine learning to recommend videos based on historical data. In this article, we examine various machine learning techniques that can be used for movie recommendations