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- W2750746504 abstract "This article explores a method for more accurately estimating the main effect of the system in a typical test-collection-based evaluation of information retrieval systems, thus increasing the sensitivity of system comparisons. Randomly partitioning the test document collection allows for multiple tests of a given system and topic (replicates). Bootstrap ANOVA can use these replicates to extract system-topic interactions—something not possible without replicates—yielding a more precise value for the system effect and a narrower confidence interval around that value. Experiments using multiple TREC collections demonstrate that removing the topic-system interactions substantially reduces the confidence intervals around the system effect as well as increases the number of significant pairwise differences found. Further, the method is robust against small changes in the number of partitions used, against variability in the documents that constitute the partitions, and the measure of effectiveness used to quantify system effectiveness." @default.
- W2750746504 created "2017-09-15" @default.
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- W2750746504 date "2017-08-29" @default.
- W2750746504 modified "2023-10-16" @default.
- W2750746504 title "Using Replicates in Information Retrieval Evaluation" @default.
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- W2750746504 doi "https://doi.org/10.1145/3086701" @default.
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