amitkaps/recommendation
Recommendation System using ML and DL
This project helps businesses build personalized recommendation systems, like those used by streaming services or e-commerce sites. It takes historical user interaction data (e.g., movies watched, products purchased) and outputs tailored suggestions for individual users. Online store managers, content curators, or product strategists can use this to enhance user experience and drive engagement.
522 stars. No commits in the last 6 months.
Use this if you need to create a system that suggests relevant items to your users based on their past behavior or item characteristics.
Not ideal if you're looking for a plug-and-play solution without any technical implementation, as this provides the underlying models and processes.
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522
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165
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 08, 2022
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