Design Personalized Product Feeds
ShopifyMachine Learning Engineer · Onsite
Last updated
This question evaluates a candidate's ability to design end-to-end machine learning systems for personalized product recommendation, assessing competencies in data collection, candidate generation, feature pipelines, model training, online serving, and re-ranking.
Design an ML system for personalized product feeds in an e-commerce application. For each user request, the system should return a ranked feed of products that are relevant, available, diverse, and fresh. Discuss the end-to-end architecture, including data collection, candidate generation, feature pipelines, model training, online serving, re-ranking, experimentation, monitoring, reliability, and how you would handle cold-start users or products.
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