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Inhaltsverzeichnis
Referenz
C. López-Pujalte, V. Guerrero, F. Moya: A test of genetic algorithms in relevance feedback. Information Processing & Management, 38 (2002), pp. 793–805
DOI
http://dx.doi.org/10.1016/S0306-4573(01)00061-9
Abstract
There have been recent applications of genetic algorithms to information retrieval, mostly with respect to relevance feedback. Nevertheless, they are yet to be evaluated in a way that allows them to be compared with each other and with other relevance feedback techniques. We here implement the different genetic algorithms that have been applied in the literature together with some of our own variations, and evaluate them using the residual collection method described by Salton in 1990 for the evaluation of relevance feedback techniques. We compare the results with those of the Ide dec-hi method, which is one of the traditional methods that yields the best results.
Extended Abstract
Bibtex
@article{LópezPujalte2002793,
title = "A test of genetic algorithms in relevance feedback ",
journal = "Information Processing & Management ",
volume = "38",
number = "6",
pages = "793 - 805",
year = "2002",
note = "",
issn = "0306-4573",
doi = "http://dx.doi.org/10.1016/S0306-4573(01)00061-9",
url = "http://www.sciencedirect.com/science/article/pii/S0306457301000619 http://de.evo-art.org/index.php?title=A_test_of_genetic_algorithms_in_relevance_feedback",
author = "Cristina López-Pujalte and Vicente P Guerrero Bote and Félix de Moya Anegón",
keywords = "Genetic algorithms",
keywords = "Relevance feedback",
keywords = "Information retrieval",
keywords = "Test collections "
}
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