datawhalechina/fun-rec

推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/

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Established

This project provides a comprehensive guide to building and understanding recommendation systems, from traditional methods to cutting-edge generative AI approaches. You'll learn how to take user interaction data and item information to output personalized recommendations. It's designed for data scientists, machine learning engineers, and researchers looking to master the core principles and practical applications of recommendation algorithms.

6,830 stars. Actively maintained with 3 commits in the last 30 days.

Use this if you need to design, implement, and optimize systems that suggest products, content, or connections to users.

Not ideal if you are looking for a simple API or pre-built library for basic recommendations without understanding the underlying mechanics.

e-commerce content-personalization recommender-systems machine-learning generative-ai
No License No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

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Stars

6,830

Forks

985

Language

Python

License

Last pushed

Mar 12, 2026

Commits (30d)

3

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