Tech
How We Evolved a Cultural Recommendation Feed From a Weighted SQL Ranker to a Narrative Affinity Model
Building a personalization engine for a multi-format content feed, without machine learning, and the testing process that forced us to rebuild it.
TL;DR
We run a collaborative cultural curation platform (think: user-submitted recommendations for movies, books, games, music, and long-form posts, all mixed into one feed) on a fairly ordinary PHP + MySQL stack. Over about a year we went through two full generations of the feed ranking algorithm. The first version solved the obvious...
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