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Case Study: Search Ranking (Airbnb / E-commerce Marketplace Search)
Deliver a complete ML system design answer for two-sided marketplace search in 45 minutes
30 min read
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Model interview answer for marketplace search ranking: two-sided objectives, retrieval vs learned ranking, position-bias-corrected labels, LambdaMART vs neural rankers, NDCG worked example, cold start, diversity re-ranking, serving architecture and monitoring.
Practice questions (5)
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Choosing the Ranking Objective for a Two-Sided Marketplace
Advanced · Free -
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Correcting Position Bias in Click Logs
Advanced -
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Computing and Interpreting NDCG@5 for Two Rankers
Intermediate -
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Fitting Retrieval and Ranking Into a 200 ms Budget
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New-Listing Exposure and Diversity Without Killing Conversion
Advanced