Design a Real-time Recommendation System — System Design Interview Practice
Design a recommendation system that generates personalized recommendations using collaborative filtering, content-based approaches, and deep learning, serving predictions with sub-100ms latency. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Implement collaborative filtering algorithmsRequirement
- Build content-based recommendation modelsRequirement
- Serve personalized recommendations in real-timeRequirement
- Handle the cold-start problem for new users/itemsRequirement
- Track user interactions for model feedbackRequirement
- Support multiple recommendation strategiesRequirement
- Implement diversity and novelty in recommendationsRequirement
- Provide explainable recommendationsRequirement
- mlConcept to explore
- recommendation systemsConcept to explore
- collaborative filteringConcept to explore
- deep learningConcept to explore
- embeddingConcept to explore
- rankingConcept to explore