It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies.
To design a movie recommender system in a notebook designed to help users discovers movies by predicting the user’s rating of each movie and displaying similar movie that they might rate high as well. For e.g., Netflix recommends movies to watch based on your previous movies that you have watched in the past.
To demonstrate the working of Item-based collaborative filtering by recommending elements based on relationship between items and not people.
The results will be provided using a series of actions i.e., using a large dataset which contains the ratings or reviews of each movie. Furthermore, performing item based collaborative movie filtering on one movie sample and performing it for the entire dataset.
-Clone the repo in your local system.
-Open it using Jupyter Notebook.