2009 | OriginalPaper | Buchkapitel
If I Had a Million Queries
verfasst von : Ben Carterette, Virgil Pavlu, Evangelos Kanoulas, Javed A. Aslam, James Allan
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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As document collections grow larger, the information needs and relevance judgments in a test collection must be well-chosen within a limited budget to give the most reliable and robust evaluation results. In this work we analyze a sample of queries categorized by length and corpus-appropriateness to determine the right proportion needed to distinguish between systems. We also analyze the appropriate division of labor between developing topics and making relevance judgments, and show that only a small, biased sample of queries with sparse judgments is needed to produce the same results as a much larger sample of queries.