Learning to rank

A Primer on Search Relevance

How search engines find and rank results, and how to measure whether a change helps: lexical, semantic and hybrid retrieval, reranking with learned models and LLMs, and judgments from people and LLMs, on a real product catalog.

Edition 2026.10.1 · Examples passed Oct 18, 2026 · 132 of 132 examples pass

• Search relevance
• Search evaluation
• Semantic search
• Learning to rank
• Retrieval-augmented generation