Dynamic Recommender System

The Recommender System is an application that suggests personalized movie recommendations to users based on their preferences and viewing history. It uses a content-based filtering techniques to generate accurate and relevant movie recommendations. The goal of the project is to enhance the movie discovery experience for users by suggesting relevant and enjoyable movies they may not have discovered otherwise. The given project or model employs content-based filtering technique to generate accurate and tailored recommendations. Content-based filtering examines the content features of movies, such as genre, director, actors, keywords and plot vectors in n dimensions to suggest movies that are similar in terms of these features to the ones the user has enjoyed in the past.