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Query Expansion Evaluation/证据
方法证据记录

Query Expansion Evaluation

Query expansion evaluation measures whether adding terms to a user's query — drawn from a thesaurus, from corpus co-occurrence statistics, or from relevance or pseudo-relevance feedback — actually improves retrieval. Expansion attacks the vocabulary-mismatch problem, where relevant documents use words the searcher did not, and it tends to raise recall by bringing in synonymous and related terms. But it can also lower precision by introducing ambiguity, and it can help some queries while badly hurting others. Sound evaluation therefore reports not just the average effectiveness change but the recall-precision trade-off and a robustness analysis of how many individual queries were helped versus harmed.

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源记录

引文逐字复制自方法源记录。这些引文不代表任何层级的验证。

Query Expansion Evaluation (Measuring the Effect of Term Addition on Retrieval)
分类方法记录 · process-pipeline / library-information-science
  • Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press. · ISBN 9780521865715
  • Salton, G., & Buckley, C. (1990). Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4), 288-297. · DOI 10.1002/(SICI)1097-4571(199006)41:4<288::AID-ASI8>3.0.CO;2-H
  • Voorhees, E. M., & Harman, D. K. (Eds.). (2005). TREC: Experiment and Evaluation in Information Retrieval. MIT Press. · ISBN 9780262220736
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Taxonomic bucketCranfield Evaluation Paradigmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRelevance Feedback Evaluationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTREC Pooling and Relevance Judgmentsmachine-suggested · Relational suggestion, not evidence.

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Bibliographic sources are present. Claim-level evidence review has not been performed.

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