Modelling ontology-based multilayered communities of interest for hybrid recommendations
Entity
UAM. Departamento de Ingeniería InformáticaDate
2007Citation
SociUM 2007: Workshop on Adaptation and Personalization in Social Systems: Groups, Teams, Communities at the UM 2007: 11th International Conference on User Modeling. Corfu, July 25-29, 2007Funded by
This research was supported by the European Commission (FP6-027685 - MESH) and the Spanish Ministry of Science and Education (TIN2005-06885 - S5T). The expressed content is the view of the authors but not necessarily the view of the MESH or S5T projects as a wholeProject
info:eu-repo/grantAgreement/EC/FP6/027685Subjects
Community of interest; Ontology; User profiles; Content-based collaborative filtering; InformáticaNote
This is an electronic version of the paper presented at the Workshop on Adaptation and Personalization in Social Systems: Groups, Teams, Communities (SociUM 2007) at the 11th International Conference on User Modeling (UM 2007), held in Corfu on 2007Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
This paper describes a strategy that automatically identifies Communities of Interest
(CoI) from the tastes and preferences expressed by users in personal ontology-based profiles,
and presents early experiments that evaluate how these CoI can be applied to recommend
annotated items combining several content-based collaborative recommendation techniques.
Specifically, we have experimented with a set of synthetic profiles generated from data of the
well-known IMDb and MovieLens repositories. The obtained results show the feasibility of our
CoI identification and recommendation approaches.
Files in this item
Google Scholar:Cantador Gutiérrez, Iván
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Castells Azpilicueta, Pablo
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Bellogin Kouki, Alejandro
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