Analyzing information retrieval methods to recover broken web links

Martínez-Romo, Juan y Araujo, Lourdes(2011) .Analyzing information retrieval methods to recover broken web links. .En: . ()

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Titulo Analyzing information retrieval methods to recover broken web links
Autor(es) Martínez-Romo, Juan
Araujo, Lourdes
Abstract In this work we compare different techniques to automatically find candidate web pages to substitute broken links. We extract information from the anchor text, the content of the page containing the link, and the cache page in some digital library.The selected information is processed and submitted to a search engine. We have compared different information retrievalmethods for both, the selection of terms used to construct the queries submitted to the search engine, and the ranking of the candidate pages that it provides, in order to help the user to find the best replacement. In particular, we have used term frequencies, and a language model approach for the selection of terms; and cooccurrence measures and a language model approach for ranking the final results. To test the different methods, we have also defined a methodology which does not require the user judgments, what increases the objectivity of the results.
Fecha 2011-06-19
Formato application/pdf
Identificador bibliuned:DptoLSI-ETSI-MA2VICMR-1065
http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-MA2VICMR-1065
Idioma eng
Fuente C. Gurrin et al. (Eds.). ECIR 2010, LNCS 5993, pp. 26–37, 2010. Springer-Verlag Berlin Heidelberg 2010
Versión de la publicación publishedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/S2009/TIC-1542
Nivel de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de recurso conferenceObct
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Creado: Tue, 25 Nov 2014, 14:19:27 CET