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- W4297662945 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.
- W4297662945 created "2022-09-30" @default.
- W4297662945 creator A5014684476 @default.
- W4297662945 date "2018-06-25" @default.
- W4297662945 modified "2023-09-30" @default.
- W4297662945 title "Evaluation of Information Retrieval Systems Using Structural Equation Modelling" @default.
- W4297662945 doi "https://doi.org/10.48550/arxiv.1806.09317" @default.
- W4297662945 hasPublicationYear "2018" @default.
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