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recommenders-team / recommenders

Author description: Best Practices on Recommendation Systems

Repository stars
21,974All-time #1,999
Fork
3,331
Last push
updated 3 days ago
Repository created
since 2018
Guides & collectionsGetting startedPythonMIT · Permissive
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Summarised by AI from the README; the original prevails

Author description: Author description: Best Practices on Recommendation Systems

Basic listing based on official public information; functionality has not been independently evaluated.

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Maintenance notes
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Kubernetes operationsTutorials# ai# data-science# deep-learning# jupyter-notebook# machine-learning# operationalization# python# ranking# rating# recommendation# recommendation-algorithm# recommendation-engine# recommendation-system# recommender

Star trend

Includes values estimated from GitHub history
21,91521,94521,97410-0710-1210-1710-2210-2711-0111-05

First collected 2026-11-03Measured at 2026-11-02 19:00 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.