Search relevance prediction
You are asked to predict relevance for an e-commerce search engine (given a user query and a product/document).
Prompt
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How would you model relevance (classification vs regression vs learning-to-rank)?
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What features would you engineer (lexical, semantic, behavioral, context)?
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How would you obtain labels (human judgments vs clicks/purchases) and handle bias in behavioral data?
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What offline metrics would you use, and how would you validate online?