Scaling our Recommendation Engine: 15,000 to 130M Users in 24 Months

This post is awesome. The team at Retention Sciences has been optimizing their recommendation algorithm for two years and walks through their process and its improvements month by month. It's fascinating to see their algorithm grow in sophistication from a 14-line SQL statement to a sophisticated set of algorithms that output a tested and optimized algorithm for each of their 30 clients.


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