Design a search relevance prediction approach

Q: Design a search relevance prediction approach

This question evaluates competency in machine learning for search relevance, including relevance modeling, feature engineering across lexical, semantic, behavioral and contextual signals, label sourcing and bias mitigation, and offline/online evaluation metrics.

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Search relevance prediction

You are asked to predict relevance for an e-commerce search engine (given a user query and a product/document).

Prompt

How would you model relevance (classification vs regression vs learning-to-rank)?
What features would you engineer (lexical, semantic, behavioral, context)?
How would you obtain labels (human judgments vs clicks/purchases) and handle bias in behavioral data?
What offline metrics would you use, and how would you validate online?

Design a search relevance prediction approach

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Search relevance prediction

Prompt

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