#12Amazon Item-to-Item Collaborative Filter
12 / 20
WorkflowCanvas
Amazon logoAmazon System
MediumProduct Systems
35–50 min

Amazon Item-to-Item Collaborative Filter

Design the 'Customers who bought this also bought' recommendation engine scaling to hundreds of millions of catalog products with precomputed item similarities.

Scale & Traffic300M active customers · 400M products catalog
Monthly Cloud Budget$35,000/month
Latency Target (P99)< 50ms Realtime SLA
Availability SLA99.99% Multi-AZ Active
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System Requirements

  • Fast item correlation lookups on every product detail page (< 30ms)
  • Offline co-occurrence matrix computation across purchase baskets
  • Real-time filtering of out-of-stock and user-purchased items
  • A/B testing framework support for diverse recommendation algorithms

Graded Constraints

01Budget: $35,000/month
02High-throughput key-value or document database for product catalog
03Fast cache for top-selling product recommendations
04Stream processing for real-time shopping cart additions

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Open this challenge in the interactive system design playground and satisfy all architecture constraints.

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Amazon Item-to-Item Collaborative Filter — System Design Problem | Mimir Nest