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Recall at K

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Recall at K has 13 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

13 facts·8 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), rdfs:label(3), description(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Descriptionin disputedescription

  • Focuses on top-k retrieved documents[3]sourceall time · 84eee47d 7fea 4e98 8d74 9eb5dc8c1b85
  • proportion of relevant documents that are among the top k retrieved documents[1]sourceall time · 3da08fad F16a 47c2 9861 9ad0d160b9a4

Rdfs:labelrdfs:label

  • Recall@k[3]all time · 84eee47d 7fea 4e98 8d74 9eb5dc8c1b85
  • Recall@k[1]sourceall time · 3da08fad F16a 47c2 9861 9ad0d160b9a4
  • Recall@k[2]sourceall time · 23c0eddb 0929 4239 8d55 13531af3e8f5

Inverse ofinverseOf

Related MetricrelatedMetric

Described AsdescribedAs

  • Recall of the top-k retrieved documents[2]sourceall time · 23c0eddb 0929 4239 8d55 13531af3e8f5

Applies toappliesTo

Measuresmeasures

Inbound mentions (11)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

containsContains(1)

describesDescribes(1)

hasExampleHas Example(1)

includesIncludes(1)

includesMetricsIncludes Metrics(1)

inverseOfInverse of(1)

relatedMetricRelated Metric(1)

relatedToRelated to(1)

relatesRelates(1)

suggestsAddingSuggests Adding(1)

usedInUsed in(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

13 undated
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appliesTobeam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
ex:top-k-retrieved-documents
—
describedAsbeam/23c0eddb-0929-4239-8d55-13531af3e8f5
Recall of the top-k retrieved documents
—
descriptionbeam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85
Focuses on top-k retrieved documents
—
descriptionbeam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
proportion of relevant documents that are among the top k retrieved documents
—
inverseOfbeam/23c0eddb-0929-4239-8d55-13531af3e8f5
ex:precision-at-k
—
measuresbeam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
ex:proportion-of-relevant-documents-retrieved
—
labelbeam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85
Recall@k
—
labelbeam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
Recall@k
—
labelbeam/23c0eddb-0929-4239-8d55-13531af3e8f5
Recall@k
—
typebeam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
ex:evaluation-metric
—
typebeam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85
ex:EvaluationMetric
—
typebeam/23c0eddb-0929-4239-8d55-13531af3e8f5
ex:Metric
—
relatedMetricbeam/23c0eddb-0929-4239-8d55-13531af3e8f5
ex:precision-at-k

References (3)

3 references
  1. [1]beam-chunk5 facts
    customctx:claims/beam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3da08fad-f16a-47c2-9861-9ad0d160b9a4
      Show excerpt
      [Turn 6077] Assistant: Fine-tuning the `alpha` value to balance sparse and dense retrieval is crucial for optimizing the performance of your hybrid retrieval system. Here are some steps and methods you can use to find the optimal `alpha` va…
  2. [2]beam-chunk5 facts
    customctx:claims/beam/23c0eddb-0929-4239-8d55-13531af3e8f5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/23c0eddb-0929-4239-8d55-13531af3e8f5
      Show excerpt
      - **Average Precision (AP)**: Measure of precision at each relevant document. 4. **Mean Scores**: Calculate the mean of each metric across all queries. ### Additional Metrics 1. **Precision@k**: Precision of the top-k retrieved documen…
  3. [3]beam-chunk3 facts
    customctx:claims/beam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85
    • full textbeam-chunk
      text/plain1 KBdoc:beam/84eee47d-7fea-4e98-8d74-9eb5dc8c1b85
      Show excerpt
      print(f"Mean Precision: {mean_precision}, Mean Recall: {mean_recall}, Mean F1 Score: {mean_f1}, Mean AP: {mean_ap}, Mean Precision@{k}: {mean_precision_at_k}, Mean Recall@{k}: {mean_recall_at_k}") ``` ### Explanation 1. **Precision@k and …

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