sb-ai-lab/RePlay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
This framework helps e-commerce managers, content strategists, and marketing analysts build and refine systems that suggest products or content to users. You input historical user interaction data (like purchases or clicks), and it outputs personalized recommendations. It's designed for anyone needing to create, evaluate, and deploy recommendation engines.
388 stars.
Use this if you need a comprehensive tool to develop, test, and deploy recommendation systems, from simple baselines to advanced models, and want to efficiently prepare your data and evaluate performance.
Not ideal if you're looking for a simple, off-the-shelf recommendation plugin without needing to customize models, handle large-scale data processing, or perform detailed performance tuning.
Stars
388
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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