wzhe06/Reco-papers
Classic papers and resources on recommendation
This collection helps you understand and implement recommendation systems by providing a curated list of classic and modern research papers. You'll find materials covering various techniques for generating and ranking personalized suggestions. It's designed for data scientists, machine learning engineers, and researchers working on building or improving recommendation engines for products, content, or services.
3,517 stars.
Use this if you are developing recommendation systems and need to research state-of-the-art algorithms and industry best practices.
Not ideal if you are looking for ready-to-use code implementations or a beginner's guide to recommendation system concepts.
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3,517
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814
Language
Python
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MIT
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Last pushed
Oct 16, 2025
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