jrzaurin/RecoTour
A tour through recommendation algorithms in python [IN PROGRESS]
This project helps data scientists, machine learning engineers, and data analysts understand and implement various recommendation algorithms. It takes historical user interaction data (like purchases or reviews) and demonstrates how different algorithms generate personalized product, content, or coupon recommendations. The output is a clear illustration of how these algorithms function, complete with code and explanations.
178 stars. No commits in the last 6 months.
Use this if you are a data professional looking to learn, benchmark, or implement different recommendation system approaches, from traditional methods like collaborative filtering to modern deep learning techniques.
Not ideal if you are looking for a plug-and-play recommendation system library without diving into the underlying code and theoretical explanations.
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178
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38
Language
Jupyter Notebook
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Last pushed
Dec 26, 2024
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