Ontology-based personalised and context-ware recommendations of news items
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Institute of Electrical and Electronics EngineersDate
2008Citation
10.1109/WIIAT.2008.204
WI-IAT '08. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008. IEEE, 2008. 562-565
ISBN
978-0-7695-3496-1DOI
10.1109/WIIAT.2008.204Funded by
This 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 wholeProject
info:eu-repo/grantAgreement/EC/FP6/027685Editor's Version
http://dx.doi.org/10.1109/WIIAT.2008.204Subjects
Collaboration; Context modeling; Context-aware services; Control systems; InformáticaNote
Personal 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 - 565Rights
© 2008 IEEEAbstract
News@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.
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Google Scholar:Cantador Gutiérrez, Iván
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Bellogin Kouki, Alejandro
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Castells Azpilicueta, Pablo
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