Topic

A recommender system (recsys) is a no-brainer investment for any service that offers users a wide choice of items. This talk will teach you how to design and build one yourself, informed by lessons learnt shipping a recsys to 5 million MAUs. We'll start with the simplest heuristics and ML models that do the trick, focusing significantly on system design. We'll discuss how to compute, store, and serve recommendations - and also how to build a robust data system with long-term value. We can also nerd out about machine learning and idea jam at the end.

I write at bakerwho.github.io and tweet at @bakerwhodata sometimes. HMU