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This change adds the recall@k metric and refactors precision@k to match the new metric. Recall@k is an important metric to use for learning to rank (LTR) use-cases. Candidate generation or first ranking phase ranking functions are often optimized for high recall, in order to generate as many relevant candidates in the top-k as possible for a second phase of ranking. Adding this metric allows tuning that base query for LTR. See: https://github.com/elastic/elasticsearch/issues/51676 |
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| .. | ||
| request | ||
| suggesters | ||
| count.asciidoc | ||
| explain.asciidoc | ||
| field-caps.asciidoc | ||
| multi-search.asciidoc | ||
| profile.asciidoc | ||
| rank-eval.asciidoc | ||
| request-body.asciidoc | ||
| search-shards.asciidoc | ||
| search-template.asciidoc | ||
| search.asciidoc | ||
| suggesters.asciidoc | ||
| uri-request.asciidoc | ||
| validate.asciidoc | ||