There are 3 repositories under movie-recommendation-engine topic.
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Movie Recommendation Engine using PySpark
A Movie Recommender System that predicts which movies you should watch next
Implementation of movie review and Recommendation system
Content-Based Recommender System recommends movies similar to the movie user likes based on genres, director, actors, etc. Used for recommending movies, music, books etc.
Pick Me A Flick: A content filtering based Movie Recommendation Engine .
A content-based movie recommendation system that recommends movies based on user preferences using cosine similarity.
This repository contains the code for building movie recommendation engine.
A collection of various movie recommendation engines from online tutorials
A DIY Version of Netflix and Amazon Recommendation Engines