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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.

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Fuentes

  1. Voorhees, E. M., & Harman, D. K. (Eds.). (2005). TREC: Experiment and Evaluation in Information Retrieval. MIT Press. ISBN: 9780262220736
  2. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press. ISBN: 9780521865715
  3. Cleverdon, C. W. (1967). The Cranfield tests on index language devices. Aslib Proceedings, 19(6), 173-194. DOI: 10.1108/eb050097

Cómo citar esta página

ScholarGate. (2026, June 23). TREC Pooling and Relevance Judgments (Scalable Construction of Reusable Test Collections). ScholarGate. https://scholargate.app/es/library-information-science/trec-pooling-relevance-judgments

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ScholarGateTREC Pooling and Relevance Judgments (TREC Pooling and Relevance Judgments (Scalable Construction of Reusable Test Collections)). Recuperado el 2026-06-24 de https://scholargate.app/es/library-information-science/trec-pooling-relevance-judgments · Conjunto de datos: https://doi.org/10.5281/zenodo.20539026