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Recommendation System Design: Candidate Generation, Ranking & Feature Stores

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

Part of the SeeItFlow series: System Design — Beyond the Architecture Diagram. How does a recommendation system select 20 relevant videos, products, or posts from a catalog containing millions of items—without scoring the entire catalog on every request? The answer is not simply “use machine learni…

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  1. 2026-10-27 13:54 · DEV Community — Machine Learning
    Recommendation System Design: Candidate Generation, Ranking & Feature Stores

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