#08Netflix Home Page Recommendation
8 / 20
Netflix logoNetflix System
HardProduct Systems
40–60 min

Netflix Home Page Recommendation

Design Netflix's personalized row generation system that curates customized titles, tailored artwork thumbnails, and dynamic row rankings for every member profile.

Scale & Traffic250M paid subscribers · 150M row requests/day
Monthly Cloud Budget$40,000/month
Latency Target (P99)< 50ms Realtime SLA
Availability SLA99.99% Multi-AZ Active

System Requirements

  • Sub-100ms cold-start page assembly across TV, mobile, and web
  • Dynamic row hierarchy based on contextual signals (time, device, location)
  • Bandit algorithms for personalized artwork selection per movie
  • Offline matrix factorization combined with real-time stream scoring

Graded Constraints

01Cost threshold: $40,000/month
02Global CDN for media assets and artwork
03Microservice orchestration mesh with fallback fallback caching
04High-speed distributed cache for profile state and recommendation pre-computation

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Netflix Home Page Recommendation — System Design Problem | Mimir Nest