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Design a Recommendation System is a hard system design interview question covering collaborative filtering, embeddings, real-time personalisation, ML pipelines — the kind asked at FAANG (Facebook/Meta, Apple, Amazon, Netflix, Google) and AI-first companies like Anthropic, OpenAI, and Nvidia.
Design a recommendation system. The platform should surface personalised content such as videos, products, or articles to each user based on their behaviour and preferences.
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A full interview loop is more than one round. These are the others, each with what is on the site for it.