Information Retrieval is a complex task, which deals with both the subjectivity related to the user's needs and the uncertainty and vagueness that characterize the retrieval process. For this reason, deciding to which extent a document is relevant to a user's needs is not easy, and it strongly depends on several dimensions such as topicality, novelty, user's context, and so on. One of the most straightforward ways to interpret this activity is as a Multi-Criteria Decision Making (MCDM) problem, in which the choice of appropriate aggregation operators can play an important role in various tasks related to, or characterizing the IR process. This article aims to provide a presentation of the main approaches that in the literature have made use of aggregation operators in Information Retrieval.

Marrara, S., Pasi, G., Viviani, M. (2017). Aggregation operators in Information Retrieval. FUZZY SETS AND SYSTEMS, 324, 3-19 [10.1016/j.fss.2016.12.018].

Aggregation operators in Information Retrieval

MARRARA, STEFANIA
Primo
;
PASI, GABRIELLA
Secondo
;
VIVIANI, MARCO
Ultimo
2017

Abstract

Information Retrieval is a complex task, which deals with both the subjectivity related to the user's needs and the uncertainty and vagueness that characterize the retrieval process. For this reason, deciding to which extent a document is relevant to a user's needs is not easy, and it strongly depends on several dimensions such as topicality, novelty, user's context, and so on. One of the most straightforward ways to interpret this activity is as a Multi-Criteria Decision Making (MCDM) problem, in which the choice of appropriate aggregation operators can play an important role in various tasks related to, or characterizing the IR process. This article aims to provide a presentation of the main approaches that in the literature have made use of aggregation operators in Information Retrieval.
Articolo in rivista - Articolo scientifico
Aggregation operators; Choquet integrals; Copulas; Indexing; Information Retrieval; Metasearch; Multidimensional relevance assessment; OWA operators; Query languages;
Aggregation operators; Information Retrieval; Indexing; Query languages; Multidimensional relevance assessment; Metasearch; OWA operators; Copulas; Choquet integrals
English
2017
324
3
19
reserved
Marrara, S., Pasi, G., Viviani, M. (2017). Aggregation operators in Information Retrieval. FUZZY SETS AND SYSTEMS, 324, 3-19 [10.1016/j.fss.2016.12.018].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/140908
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