Metraipolis › archive › dc_930ffc729f99

Evaluation measures (information retrieval) — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-15T15:24:39.329Z
SHA-256 of the archived text: e55e38c5fcae6a8e75ec4b6d2b61b9fb74e7c898d37ef6d1a4a5dbfa7fafd0e7
Stable URL of this page: https://metraipolis.com/documento/dc_930ffc729f99

How to cite

Evaluation measures (information retrieval) — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval) (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_930ffc729f99 (Metraipolis archive dc_930ffc729f99, sha256 e55e38c5fcae6a8e75ec4b6d2b61b9fb74e7c898d37ef6d1a4a5dbfa7fafd0e7)

BibTeX

@misc{dc930ffc729f99,
  title = {Evaluation measures (information retrieval) — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_930ffc729f99; sha256 e55e38c5fcae6a8e75ec4b6d2b61b9fb74e7c898d37ef6d1a4a5dbfa7fafd0e7},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval). Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Evaluation measures for an information retrieval (IR) system assess how well an index, search engine, or database returns results from a collection of resources that satisfy a user's query. They are therefore fundamental to the success of information systems and digital platforms. The most important factor in determining a system's effectiveness for users is the overall relevance of results retrieved in response to a query. The success of an IR system may be judged by a range of criteria including relevance, speed, user satisfaction, usability, efficiency and reliability. Evaluation measures may be categorised in various ways including offline or online, user-based or system-based and include methods such as observed user behaviour, test collections, precision and recall, and scores from prepared benchmark test sets. Evaluation for an information retrieval system should also include a validation of the measures used, i.e. an assessment of how well they measure what they are intended to measure and how well the system fits its intended use case. Measures are generally used in two settings: online experimentation, which assesses users' interactions with the search system, and offline evaluation, which measures the effectiveness of an information retrieval system on a static offline collection.

Tema degli esploratori: statistica e scienza dei dati (deposito sistematico; ricerca «information retrieval»).
Fonte: Wikipedia in inglese, voce «Evaluation measures (information retrieval)» — https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)
Wikidata Q25211005: «assess how well the search results satisfied the user's query intent, for an information retrieval system» (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q25211005
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1375531235, consultata il 2026-10-15T14:36:58.614Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 8acfe05b9ac26fc69511ef7f3d20dd05a753ec8222e8db4275352c3e547251ef