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• W2952806543 abstract "The interpretation of the experimental data collected by testing systems across input datasets and model parameters is of strategic importance for system design and implementation. In particular, finding relationships between variables and detecting the latent variables affecting retrieval performance can provide designers, engineers and experimenters with useful if not necessary information about how a system is performing. This paper discusses the use of Structural Equation Modelling (SEM) in providing an in-depth explanation of evaluation results and an explanation of failures and successes of a system; in particular, we focus on the case of Information Retrieval." @default.
• W2952806543 created "2019-06-27" @default.
• W2952806543 creator A5014684476 @default.
• W2952806543 date "2018-06-25" @default.
• W2952806543 modified "2023-09-27" @default.
• W2952806543 title "Evaluation of Information Retrieval Systems Using Structural Equation Modelling" @default.
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• W2952806543 hasPublicationYear "2018" @default.
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