Enriching ontological user profiles with tagging history for multi-domain recommendations
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Yannis Avrithis; Yiannis Kompatsiaris; Steffen Staab; Athena VakaliDate
2008Citation
CISWeb 2008, Collective Semantics: Collective Intelligence and the Semantic Web: Proceedings of the CISWeb Workshop, located at the 5th European Semantic Web Conference. Ed. Yannis Avrithis, Yiannis Kompatsiaris, Steffen Staab, Athena Vakali. CEUR Workshop Proceedings, Volumen 351, 2008ISSN
1613-0073Funded by
This research has been supported by the European Commission (FP6-027685 – MESH, IST-34721 – TAGora). The expressed content is the view of the authors but not necessarily the view of the MESH and TAGora projects as a wholeProject
info:eu-repo/grantAgreement/EC/FP6/027685; info:eu-repo/grantAgreement/EC/FP6/34721Editor's Version
http://ceur-ws.org/Vol-351/Subjects
Social tagging; Web 2.0; Ontology; User modelling; Semantic Web; Recommender systems; InformáticaNote
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Proceedings of the CISWeb Workshop, located at the 5th European Semantic Web Conference ESWC 2008
Rights
© 2008 The author/sAbstract
Many advanced recommendation frameworks employ ontologies of
various complexities to model individuals and items, providing a mechanism
for the expression of user interests and the representation of item attributes. As
a result, complex matching techniques can be applied to support individuals in
the discovery of items according to explicit and implicit user preferences.
Recently, the rapid adoption of Web2.0, and the proliferation of social
networking sites, has resulted in more and more users providing an increasing
amount of information about themselves that could be exploited for
recommendation purposes. However, the unification of personal information
with ontologies using the contemporary knowledge representation methods
often associated with Web2.0 applications, such as community tagging, is a
non-trivial task. In this paper, we propose a method for the unification of tags
with ontologies by grounding tags to a shared representation in the form of
Wordnet and Wikipedia. We incorporate individuals’ tagging history into their
ontological profiles by matching tags with ontology concepts. This approach is
preliminary evaluated by extending an existing news recommendation system
with user tagging histories harvested from popular social networking sites.
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Google Scholar:Cantador Gutiérrez, Iván
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Szomszor, Martin
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Alani, Harith
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Fernández Sánchez, Miriam
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Castells Azpilicueta, Pablo
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