zerolovesea/NextRec
A unified, efficient, and extensible PyTorch-based recommendation library
This helps e-commerce and content platforms improve their product or content recommendations. You provide data on user interactions (like past purchases or views) and item details, and it outputs a highly personalized recommendation model. This tool is for data scientists and machine learning engineers responsible for building and deploying recommendation engines.
129 stars. Available on PyPI.
Use this if you need to quickly prototype, train, and evaluate various recommendation models for ranking, matching, or multi-task learning using PyTorch.
Not ideal if you prefer a low-code or no-code solution for recommendations, as it requires comfort with Python and machine learning frameworks.
Stars
129
Forks
9
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
16
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