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dc.contributor.authorCantador Gutiérrez, Iván 
dc.contributor.authorBellogin Kouki, Alejandro 
dc.contributor.authorCastells Azpilicueta, Pablo 
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2015-04-16T09:19:44Z
dc.date.available2015-04-16T09:19:44Z
dc.date.issued2008
dc.identifier.citationWI-IAT '08. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008. IEEE, 2008. 562-565en_US
dc.identifier.isbn978-0-7695-3496-1
dc.identifier.urihttp://hdl.handle.net/10486/665147
dc.descriptionPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. I. Cantador, A. Bellogin, and P. Castells, "Ontology-based personalised and context-ware recommendations of news items", WI-IAT '08. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Sydney (United States) 2008, pp. 562 - 565en_US
dc.description.abstractNews@hand is a news recommender system that makes use of semantic technologies to provide several on-line news recommendation services. News contents and user preferences are described in terms of concepts appearing in a set of domain ontologies. Based on the similarities between item descriptions and user profiles, and the se-mantic relations between concepts, content-based and collaborative recommendation models are supported by the system. In this paper, we evaluate a model that personalizes the order in which news articles are shown to the user according to his long-term interest profile, and other model that reorders the news items lists taking into account the current semantic context of interest of the user. The combination of those models is investigated showing significant improvements on the experimental tasks performed.en_US
dc.description.sponsorshipThis research was supported by the European Commission (FP6-027685- MESH). The expressed content is the view of the authors but not necessarily the view of the MESH project as a wholeen_US
dc.format.extent5 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2008 IEEEen_US
dc.subject.otherCollaborationen_US
dc.subject.otherContext modelingen_US
dc.subject.otherContext-aware servicesen_US
dc.subject.otherControl systemsen_US
dc.titleOntology-based personalised and context-ware recommendations of news itemsen_US
dc.typeconferenceObjecten
dc.typebookParten
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1109/WIIAT.2008.204
dc.identifier.doi10.1109/WIIAT.2008.204
dc.identifier.publicationfirstpage562
dc.identifier.publicationlastpage565
dc.relation.eventdateDecember 9-12, 2008en_US
dc.relation.eventplaceSydney (United States)en_US
dc.relation.eventtitleIEEE/WIC/ACM International Conference on Web Intelligence, WI-IAT 2008en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP6/027685en
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.authorUAMCastells Azpilicueta, Pablo (259643)
dc.facultadUAMEscuela Politécnica Superior


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