EmmanuelleTOCS/steam-game-recommender
A powerful recommendation system for Steam games, combining Content-Based and Collaborative Filtering techniques. Built with Python, Scikit-learn, and Streamlit to deliver accurate, real-time game recommendations. Perfect for gamers and data scientists interested in building intelligent recommendation engines.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/EmmanuelleTOCS/steam-game-recommender"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Fro116/RecommenderSystem
An anime recommender system based off of MyAnimeList user reviews
MRamazan/AnimeRecBERT
Anime Recommender adaptation of the BERTRec project with custom anime ratings dataset consisted...
aws-solutions/maintaining-personalized-experiences-with-machine-learning
The Maintaining Personalized Experiences with Machine Learning solution provides an automated...
Sajid030/anime-recommendation-system
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
venugopalkadamba/Movie-Recommendation-System-ML-React-Flask
A Flask, React and Machine Learning based web application for movie recommendation and sentiment...