BenMekkiMouad/movies-recommendation-system
An open-source Python-based movie recommendation system that uses machine learning algorithms to suggest movies based on user preferences and ratings.
This is a framework for building a movie recommendation system. It takes a dataset of movies and user preferences as input to suggest similar movie titles. This project would be useful for anyone who wants to set up a personalized movie discovery experience for users, such as a streaming service or a film review site.
No commits in the last 6 months.
Use this if you are a developer looking to build or contribute to a basic movie recommendation engine.
Not ideal if you are an end-user looking for a ready-to-use movie recommendation website or application.
Stars
7
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BenMekkiMouad/movies-recommendation-system"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
victorverma3/Letterboxd-Movie-Recommendations
Generate AI-powered movie recommendations, discover insightful profile statistics, pick movies...
snowch/movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine...
kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes...
skotz/cp-user-behavior
Recommendation engine using collaborative filtering and matrix factorization