farfarfun/funrec
推荐系统工具包 - 提供机器学习推荐算法和推荐系统开发工具
This toolkit helps you build and evaluate systems that recommend items to users, like products, movies, or content. You provide historical user interaction data and item information, and it generates predictions about what users might like, allowing you to personalize experiences. This is for anyone involved in developing or deploying recommendation engines, such as data scientists or machine learning engineers.
Available on PyPI.
Use this if you need to quickly implement and test various machine learning-based recommendation algorithms for your application.
Not ideal if you are looking for a pre-built, plug-and-play recommendation service without any coding or model development.
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Language
Python
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Last pushed
Feb 11, 2026
Commits (30d)
0
Dependencies
5
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