Eugene Yan • 1/10/2021

Real-time Machine Learning For Recommendations

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This article analyzes the practical implementation of real-time machine learning for recommendations. It compares adoption in China and the US, explains when real-time recommendations are (and aren't) useful, and outlines design principles for an MVP. It includes primers on recommendation fundamentals like collaborative vs. content-based filtering and item-to-item vs. user-to-item models.

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#Machine Learning #real-time systems #recommendation systems
Real-time Machine Learning For Recommendations

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