Recommendation System
Machine Learning Recommendations for Steam Games,
Published in 2023.
Driven by my interest in exploring recommendation systems, I embarked on a project to design a recommendation engine for video games. I collected data from the Steam database, focusing on games released in 2023. To achieve a more nuanced thematic focus, I excluded games classified as adult content or extreme violence.
My goal was to develop a system that recommends games to users based on their preferences and game attributes. I cleaned and extracted relevant metadata from the Steam database, including names, features, genres, developers, and descriptions. I then built and trained a recommendation system using a collaborative filtering model implemented with Python libraries.
Finally, I deployed the recommendation system as a web application using Streamlit. This application suggests relevant 2023 games based on user preferences. You can simulate the user experience by visiting the example link below:
Example LinkThe repository of code is here:
Github Link