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dc.contributor.authorCantador Gutiérrez, Iván 
dc.contributor.authorBellogin Kouki, Alejandro 
dc.contributor.authorFernández-Tobías, Ignacio
dc.contributor.authorLópez-Hernández, Sergio
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2015-04-22T15:30:58Z
dc.date.available2015-04-22T15:30:58Z
dc.date.issued2011
dc.identifier.citationE-Commerce and Web Technologies: 12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011. Proceedings. Lecture Notes in Business Information Processing, Volumen 85. Springer, 2002. 101-113.en_US
dc.identifier.isbn978-3-642-23013-4 (print)en_US
dc.identifier.isbn978-3-642-23014-1 (online)en_US
dc.identifier.issn1865-1348
dc.identifier.urihttp://hdl.handle.net/10486/665404
dc.descriptionProceedigns of 12th International Conference, EC-Web 2011, Toulouse, France, August 30 - September 1, 2011.en_US
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23014-1_9en_US
dc.description.abstractWe present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.en_US
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and the Community of Madrid (CCG10- UAM/TIC-5877)en_US
dc.format.extent13 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringer Berlin Heidelberg
dc.relation.ispartofLecture Notes in Business Information Processingen_US
dc.rights© Springer-Verlag Berlin Heidelberg 2011
dc.subject.otherAmbiguityen_US
dc.subject.otherClusteringen_US
dc.subject.otherFolksonomyen_US
dc.subject.otherRecommender systemsen_US
dc.subject.otherSemantic contextualisationen_US
dc.subject.otherSocial taggingen_US
dc.subject.otherUser modellingen_US
dc.titleSemantic contextualisation of social tag-based profiles and item recommendationsen_US
dc.typeconferenceObjecten
dc.typebookParten
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-23014-1_9
dc.identifier.doi10.1007/978-3-642-23014-1_9
dc.identifier.publicationfirstpage101
dc.identifier.publicationlastpage113
dc.identifier.publicationvolume85
dc.relation.eventdateAugust 30 - September 1, 2011en_US
dc.relation.eventnumber12
dc.relation.eventplaceToulouse (France)en_US
dc.relation.eventtitle12th International Conference on E-Commerce and Web Technologies, EC-Web 2011en_US
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupRecuperación de información (ING EPS-008)es_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMCantador Gutiérrez, Iván (261086)
dc.authorUAMFernández Tobías, Ignacio (262532)
dc.facultadUAMEscuela Politécnica Superior


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