Relevance Score
Noun · AI & Machine Learning
Definitions
A score used to estimate how relevant a document, chunk, or answer is to a query or task. Relevance scores are common in search, retrieval, and reranking systems, though they are only as useful as the ranking signal behind them.
In plain English: A score that estimates how relevant something is to the query.
Example: "They exposed the relevance score in debugging tools so analysts could see why one policy page outranked another."