GitHub / recommenders-team / recommenders

Best Practices on Recommendation Systems

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Commits: 6533
Authors: 140
Mean commits per author: 46.66
Development Distribution Score: 0.695
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Topics: artificial-intelligence, azure, data-science, deep-learning, jupyter-notebook, kubernetes, machine-learning, microsoft, operationalization, python, ranking, rating, recommendation, recommendation-algorithm, recommendation-engine, recommendation-system, recommender, tutorial

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