Design a search relevance prediction approach
Company: Amazon
Role: Applied Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Overview: 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.
Read the full Amazon Applied Scientist interview experience this question came from
