Training a collaborative filtering based recommendation system on a toy dataset is a sophomore-year project in colleges these days. But where the rubber meets the road is building such a system at scale, deploying in production, and serving live requests within a few hundred milliseconds.

Denis Bolkovskis

Anthropic

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Community Picks

This post discusses the challenges in building a recommendation system at scale and describes a common architecture used by top tech companies. It covers the serving side of the architecture, including retrieval, filtering, feature extraction, scoring, and ranking stages.

Real World Recommendation System – Part 1

<p>One of the best articles I read about building recommendation systems at scale. Very similar to what we do here at daily.dev</p>
