YouTube and Movie Recommendation System Using Machine Learning

YouTube, Netflix and some other OTT applications follow a drastic and systematic approach to how they portray movie recommendations to their users in order to keep them attracted and interested in their websites and applications. The concepts of Machine Learning and Artificial Intelligence are being used in so many different ways ranging from smallest keyword suggestions while users’ type, to the highly complex recommendation systems such as YouTube, that we solely use so often. In other words, recommendation system is used to suggest similar items to the user. The items can be movies, products, videos or anything depending on organizations or industries. Some modes of approach includes either using a candidate generation model or a ranking model to sort various forms of information which could vary from time spent while watching the videos to the age group of people watching the same videos. proposed work implemented using KNN machine learning model and obtained an accuracy of 98%.