RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
This project helps e-commerce managers, content strategists, and other product owners quickly test and compare different recommendation algorithms to suggest products, content, or services to users. You input existing user interaction data (like purchases, clicks, or views), and it outputs a working recommendation model. This is for professionals who need to build and evaluate effective recommendation systems.
4,307 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to research, benchmark, or develop new recommendation algorithms and want a comprehensive framework with many pre-implemented models and datasets.
Not ideal if you're looking for a low-code, drag-and-drop solution or a deployed, production-ready recommendation service.
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4,307
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732
Language
Python
License
MIT
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Last pushed
Feb 24, 2025
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0
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