DocumentCode :
2277141
Title :
Ontology-Based Personalised and Context-Aware Recommendations of News Items
Author :
Cantador, Iván ; Bellogin, A. ; Castells, Pablo
Author_Institution :
Escuela Politec. Super., Univ. Autonoma de Madrid, Madrid
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
562
Lastpage :
565
Abstract :
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.
Keywords :
content-based retrieval; groupware; information filters; information resources; ontologies (artificial intelligence); semantic Web; ubiquitous computing; collaborative recommendation model; content-based recommendation model; context-aware recommendation; domain ontology; on-line news recommendation service; personalised recommendation model; recommender system; semantic technology; Collaboration; Context modeling; Context-aware services; Control systems; Hurricanes; Intelligent agent; Ontologies; Proposals; Recommender systems; Vocabulary; context; ontology; recommender systems; semantic web; user modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.204
Filename :
4740510
Link To Document :
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