{
  "altLabels": [
    "Normalized Discounted Cumulative Gain"
  ],
  "definition": "A ranking evaluation metric that discounts graded relevance by result position and normalizes by the ideal ranking.",
  "derivedRelations": [
    {
      "target": "beir",
      "type": "related"
    },
    {
      "target": "ranking",
      "type": "related"
    }
  ],
  "id": "ndcg",
  "kind": "Metric",
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "links": [
    {
      "label": "Cumulated gain-based evaluation paper",
      "type": "definingReference",
      "url": "https://doi.org/10.1145/582415.582418"
    }
  ],
  "modifiedAt": "2026-09-12T21:39:00Z",
  "prefLabel": "nDCG",
  "publisher": {
    "name": "Searchplex",
    "url": "https://searchplex.net/"
  },
  "relations": [
    {
      "target": "ranking",
      "type": "evaluates"
    },
    {
      "target": "reranking",
      "type": "evaluates"
    },
    {
      "target": "recall-at-k",
      "type": "related"
    }
  ],
  "representations": {
    "html": "https://id.searchplex.net/ndcg/",
    "json": "https://id.searchplex.net/ndcg.json",
    "jsonld": "https://id.searchplex.net/ndcg.jsonld"
  },
  "scheme": "https://id.searchplex.net/scheme/",
  "scopeNote": "nDCG is commonly used when relevance is graded and rank position matters. It should not be confused with recall-oriented cutoff metrics.",
  "status": "published",
  "uri": "https://id.searchplex.net/ndcg/"
}