NDCG
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
NDCG has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(2), full form(1), described as(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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)
- Additional Metrics Section
ex:additional-metrics-section
includesIncludes(1)
- Evaluation Metrics
ex:evaluation-metrics
includesMetricsIncludes Metrics(1)
- Bm25 Evaluation Context
ex:bm25-evaluation-context
returnsReturns(1)
- Calculate Metrics
ex:calculate-metrics
returnsMultipleValuesReturns Multiple Values(1)
- Calculate Metrics
ex:calculate-metrics
usedInUsed in(1)
- Top K Concept
ex:top-k-concept
Other facts (8)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Metric | [1] |
| Rdf:type | Variable | [3] |
| Full Form | Normalized Discounted Cumulative Gain | [1] |
| Described As | measures the usefulness of the top-k retrieved documents | [1] |
| Abbreviation for | Normalized Discounted Cumulative Gain | [1] |
| Returned by | Calculate Metrics | [2] |
| Computed by | Calculate Metrics | [2] |
| Assigned by | Calculate Metrics | [3] |
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.
References (3)
ctx:claims/beam/23c0eddb-0929-4239-8d55-13531af3e8f5- full textbeam-chunktext/plain1 KB
doc:beam/23c0eddb-0929-4239-8d55-13531af3e8f5Show 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…
ctx:claims/beam/f815a6d5-3a79-40fc-bcfc-c90172294821ctx:claims/beam/120de523-8aa9-44e6-a94f-a9f5d853f0a8- full textbeam-chunktext/plain1 KB
doc:beam/120de523-8aa9-44e6-a94f-a9f5d853f0a8Show excerpt
Here's how you can implement the calculation and visualization: ```python import numpy as np import matplotlib.pyplot as plt from sklearn.metrics import ndcg_score, average_precision_score def calculate_metrics(predictions, labels, k_ndcg…
See also
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