TREC Pooling and Relevance Judgments
Pooling is the technique that lets the Cranfield evaluation paradigm scale to collections of millions of documents, where judging every document for every topic is impossible. Developed and institutionalized at the US National Institute of Standards and Technology for the Text REtrieval Conference (TREC), pooling gathers the top-ranked documents returned by many participating systems for each topic, merges them into a single pool, has human assessors judge only that pool, and treats every unjudged document as non-relevant. The result is a reusable test collection — documents, topics, and pooled relevance judgments (qrels) — on which new systems can later be scored without further assessment. Pooling is what made large-scale, reproducible retrieval evaluation feasible.
Lire la méthode complète
Connectez-vous avec un compte gratuit pour lire cette section.
Carte des méthodes
Le voisinage des méthodes apparentées — sélectionnez un nœud pour explorer.
Sources
- Voorhees, E. M., & Harman, D. K. (Eds.). (2005). TREC: Experiment and Evaluation in Information Retrieval. MIT Press. ISBN: 9780262220736
- Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press. ISBN: 9780521865715
- Cleverdon, C. W. (1967). The Cranfield tests on index language devices. Aslib Proceedings, 19(6), 173-194. DOI: 10.1108/eb050097 ↗
Comment citer cette page
ScholarGate. (2026, June 23). TREC Pooling and Relevance Judgments (Scalable Construction of Reusable Test Collections). ScholarGate. https://scholargate.app/fr/library-information-science/trec-pooling-relevance-judgments
Quelle méthode ?
Placez cette méthode aux côtés de ses plus proches parentes et lisez-les côte à côte — la bibliothèque pose les ouvrages sur la table ; le choix vous revient.
- Cranfield Evaluation ParadigmLibrary Information Science↔ comparer
- Query Expansion EvaluationLibrary Information Science↔ comparer
- Relevance Feedback EvaluationLibrary Information Science↔ comparer
Référencée par
Méthodes similaires
Une erreur sur cette page ? Signalez-la ou proposez une correction →