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