LienM/recpack
GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
This toolkit helps researchers and data scientists working on recommendation systems to efficiently set up and compare different 'top-N' recommendation algorithms. It takes in implicit feedback data (like clicks or views) and outputs performance metrics and optimized recommendation models. It's designed for those who need to evaluate and advance the state-of-the-art in personalized recommendations.
No commits in the last 6 months.
Use this if you are a researcher or data scientist developing and evaluating new top-N recommendation algorithms or comparing existing ones in a reproducible way.
Not ideal if you are looking for a simple, out-of-the-box recommendation engine to deploy directly into a production system without extensive experimentation.
Stars
22
Forks
3
Language
Python
License
AGPL-3.0
Category
Last pushed
Dec 11, 2023
Commits (30d)
0
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