The scenario
When an e-commerce site serves personalized product recommendations, this pipeline guides the system from user request through data retrieval, cold start detection, feature engineering, model inference, ranking and filtering to final display.
What is in this drawing
Read the decisions behind it.
01
Sufficient user history to personalize vs. fallback to popular items
02
Business rules applied after ranking
Use this pipeline design for any recommendation system where user profiling, cold start, and multi-stage ranking are needed.
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