Designing a Recommendation System

Summary

A classic ML system design question — architecting a system that ranks and personalizes content for users at scale, balancing relevance, freshness and diversity.

How to Learn This

1Practice designing a recommendation system for a concrete product (e.g. video or product recs).
2Learn the standard candidate-generation-then-ranking two-stage pattern.
3Consider cold-start problems for new users/items in your design.

Designing a RAG System at Scale

Designing a Content Moderation System

More topics in System Design for AI Applications

Designing Scalable AI Systems Latency & Cost Optimization Caching LLM Responses Load Balancing AI Workloads Designing a RAG System at Scale Designing a Content Moderation System Handling High-Throughput Inference Choosing Between Fine-Tuning and RAG

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