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Machine Learning Advanced Pro

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 7 views

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)

  • 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

    Advanced
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  • New-Listing Exposure and Diversity Without Killing Conversion

    Advanced
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