/Movie_Recommendation_Model

A movie recommendation model based on content analyzes movie features such as genre, actors, and plot to suggest similar movies to the user. This type of model uses machine learning algorithms to match user preferences with relevant content, providing personalized recommendations to enhance the user's movie-watching experience.

Primary LanguageJupyter NotebookMIT LicenseMIT

Movie Recommendation Model

  • Content based recommendation system focuses on the content, and recommends items that are similar to those that a user has liked or interacted with before.

  • The Movie recommendation model uses content based approach.