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Definition

Recall@k Retrieval Metric

Recall@kk (written R@kk) is a top-kk ranking evaluation metric used in information retrieval. For a single query with a set RR of gold relevant items and a ranked list of retrieved items, let RkR_k be the set of items appearing in the top kk positions. Then

Recall@k=RRkR.\mathrm{Recall@}k = \frac{|R \cap R_k|}{|R|}.

The corpus-level score averages this quantity over a fixed evaluation set of queries. Recall@kk takes values in [0,1] and is rank-agnostic within the top-kk window: it only counts how many relevant items fall in the top kk, not their internal ordering. The cutoff kk must be reported alongside the score (e.g. R@1010), and meaningful headline comparisons fix the encoder, candidate pool, cutoff, matching rule, and split policy so that two systems compute the same numerator and denominator.

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Updated 2026-05-18

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