Design a Personalized Recommendation Engine — System Design Interview Practice
Design a recommendation system that analyzes user behavior, trains ML models, generates personalized recommendations, and serves predictions via API. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Generate personalized recommendationsRequirement
- Track user behaviorRequirement
- Train recommendation modelsRequirement
- Serve real-time predictionsRequirement
- Handle cold-start problemRequirement
- Implement A/B testingRequirement
- Monitor recommendation qualityRequirement
- Update models incrementallyRequirement
- gcpConcept to explore
- recommendations aiConcept to explore
- machine learningConcept to explore
- bigquery mlConcept to explore
- personalizationConcept to explore