Design a Recommendation System
You're tasked with designing a product recommendation engine for an e-commerce platform with 10M users and 1M products. Describe your approach covering: data collection strategy, model selection, training pipeline, serving architecture, and A/B testing methodology.
Focus on practical tradeoffs rather than theoretical perfection.
Examples
Example 1
Input: 10M users, 1M products, cold-start problem
Output: System design document with key decisions explained
solution.py
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