An Empirical Analysis of Collaborative and Content Based Recommender System by using AI

A system that attempts to predict our preferred movies based on our own past selections and preferences is referred to as a “movie recommendation system.” Machine Learning algorithms like content-based filtering, feature selection with its subset method Vectorization is one of those key components which acts as the base of this movie recommendation system. Collaborative filtering mechanism is also used widely in recommender systems. In this paper, we have presented an analysis of Collaborative and Content based recommender system which will help in selection of an algorithm based on the requirements of the developer.