Top 50 Recommendation Systems Interview Questions
The most frequently asked Recommendation Systems questions across all roles and companies, ranked by real interview frequency. Updated weekly.
Design a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.
Exiger
Course Hero
CCC Intelligent SolutionsDesign an end-to-end travel recommendation system with retrieval, ranking, feature pipelines, and online feedback loops.
Expedia Group
TripadvisorDesign a personalized feed ranking system that handles new users and new content under tight latency at large scale.
Meta
Impact
Genesis10Design the infrastructure for a multi-agent system where agents communicate, coordinate work, and recover from non-deterministic failures.
Mercor
Betterup
AI Research InstituteDesign the end-to-end ML system for Facebook Feed recommendation, from retrieval and ranking to serving, evaluation, monitoring, and failure handling.
Meta
GrindrDesign a multi-stage recommendation system for Devalore Commerce serving 18M DAU, 45M SKUs, and 85K peak QPS under 180ms p99 latency.
Best Buy
Simple Tire
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