AkaliKong/MiniOneRec
Minimal reproduction of OneRec
This framework helps e-commerce businesses and content platforms generate highly personalized product or content recommendations. By taking product titles and descriptions, it learns to predict what items users will likely engage with next. The output is a list of recommended items, tailored for individuals, to improve user experience and drive sales.
1,228 stars. Actively maintained with 4 commits in the last 30 days.
Use this if you manage an online store or content platform and need to build a sophisticated recommendation engine that understands user preferences and item semantics to suggest relevant products or content.
Not ideal if you are looking for a simple, off-the-shelf recommendation solution without the need for deep customization or integration into a large language model ecosystem.
Stars
1,228
Forks
174
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 01, 2026
Commits (30d)
4
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