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dc.contributor.authorCordón García, Oscar
dc.contributor.authorMoya Anegón, Félix de
dc.contributor.authorZarco Fernández, Carmen
dc.description.abstractAlthough the fuzzy retrieval model constitutes a powerful extension of the boolean one, being able to deal with the imprecision and subjectivity existing in the Information Retrieval process, users are not usually able to express their query requirements in the form of an extended boolean query including weights. To solve this problem, different tools to assist the user in the query formulation have been proposed. In this paper, the genetic algorithm-programming technique is considered to build an algorithm of this kind that will be able to automatically learn weighted queries --modeling the user's needs-- for a fuzzy information retrieval system by applying an off-line adaptive process starting from a set of relevant documents.
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 2000 Vol. 7 Núm. 2 [ -3 ]
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.subject.otherFuzzy information retrieval
dc.subject.otherGA-P algorithms
dc.subject.otherWeighted queries
dc.subject.otherAutomatic query learning
dc.titleA GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system
dc.subject.lemacCiències de la computació
dc.subject.lemacInformació -- Sistemes d'emmagatzematge i recuperació -- Gestió
dc.subject.lemacCerca bibliogràfica en línia
dc.subject.amsClassificació AMS::68 Computer science::68P Theory of data
dc.rights.accessOpen Access

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