Design a production recommendation system with candidate generation, ranking, re-ranking, and real-time personalization for your product and user base.
## CONTEXT Recommendation systems drive 35% of Amazon's revenue, 80% of Netflix viewing hours, and 60% of YouTube watch time — yet building an effective recommendation engine remains one of the most complex ML system design challenges. The difference between a recommendation system that increases engagement by 5% and…
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