Top 50 Recommendation Systems Interview Questions
The most frequently asked Recommendation Systems questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.
Braze
G-TECH Services
Principal Financial GroupDesign a recommendation system strategy for new users and new items when interaction history is sparse or missing.
Oak Ridge National Laboratory
University of Michigan
BryterCXDesign a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.
Exiger
CCC Intelligent Solutions
Fis globalDesign an end-to-end travel recommendation system with retrieval, ranking, feature pipelines, and online feedback loops.
Vail Resorts
Tripadvisor
Expedia GroupDesign the infrastructure for a multi-agent system where agents communicate, coordinate work, and recover from non-deterministic failures.
Licorne Society
AI Research Institute
Cisco Restaurant + BarDesign a personalized feed ranking system that handles new users and new content under tight latency at large scale.
ImpactCCC Intelligent Solutions
RedditDesign the end-to-end ML system for Facebook Feed recommendation, from retrieval and ranking to serving, evaluation, monitoring, and failure handling.
Meta
Meta PlatformsDesign an agentic ad bidding system that makes real-time bid adjustments at very high scale with strict latency and reliability needs.
Amazon AdvertisingDDisney Entertainment and ESPN Product & Technology
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