Correction: Mothe, J. Analytics Methods to Understand Information Retrieval Effectiveness—A Survey. Mathematics 2022, 10, 2135

Josiane Mothe ()
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Josiane Mothe: INSPE, IRIT UMR5505 CNRS, Université Toulouse Jean-Jaurès, 118 Rte de Narbonne, F-31400 Toulouse, France

Mathematics, 2022, vol. 10, issue 18, 1-7

Abstract: The author wishes to make the following corrections to this paper [1]:In Abstract, (1) “It depicts how data analytics has been used in IR for a better understanding system effectiveness” should be “It depicts how data analytics has been used in IR to gain a better understanding of system effectiveness”; (2) “This review concludes lack of full understanding of system effectiveness according to the context although it has been possible to adapt the query processing to some contexts successfully” should be changed to “This review concludes that we lack a full understanding of system effectiveness related to the context which the system is in, though it has been possible to adapt the query processing to some contexts successfully”; (3) “This review also concludes that, even if it is possible to distinguish effective from non effective system on average on a query set” should be changed to “This review also concludes that, even if it is possible to distinguish effective from non-effective systems for a query set” [...]

Keywords: n/a (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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