yoongi0428/fullstack_recsys
Fullstack recommender system project with Flask + React + PyTorch + Numpy
This project helps you quickly set up a complete web service that suggests movies to users based on their viewing history and preferences. You input existing user profiles and movie ratings, and it outputs a personalized list of top movie recommendations displayed in a user-friendly interface. It's designed for data scientists or product managers who want to demonstrate or deploy a basic recommendation engine.
No commits in the last 6 months.
Use this if you need a working example of a full-stack movie recommendation system to understand the different components involved or to use as a starting point for your own project.
Not ideal if you're looking for a production-ready system with advanced recommendation algorithms, real-time personalization, or robust scaling capabilities.
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Language
Python
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Last pushed
Apr 01, 2021
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