A comprehensive guide to search relevance metrics covering precision, recall, F1 score, MAP, MRR, nDCG, ERR, AUC, and CTR. Explains formulas and when to use each metric, how to measure relevance with and without manual labeling, how to evaluate search quality in production using logging, A/B testing, and KPIs, and common evaluation mistakes to avoid. Concludes with guidance on choosing the right metrics for different use cases and a brief mention of Meilisearch's ranking capabilities.
Table of contents
What are search relevance metrics?Why are search relevance metrics important?What are the search relevance metrics?How do you measure search relevance?How can you measure relevance without manual labeling?How do you measure search relevance in production?What are common search evaluation mistakes?How to choose and apply search relevance metrics effectively102 Impressions