Abstract
This paper presents the idea to reason over user’s tags to define and enrich the user model. We apply our approach to an adaptive web-based and multi-device social recommender system: iCITY, which exploits a tag-based user model, enriched from the information derived from the tags inserted in the system by users, and filled also with the tags the user has already exploited in other social web sites. Moreover, we propose an architecture to enable the iCITY tag-based user model be exported and shared with other social applications in a semantic enhanced way. Finally, we propose the sharing of the user profile, together with the list of tags, in a shared syntax (such as RDF(S), OWL, RSS).
This work has been funded by the the Municipality of Torino and the CSP research center. We want to thank Franco Carcillo, Andrea Toso, Luca Console, Fabiana Vernero, Anna Goy for their support.
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Carmagnola, F., Cena, F., Gena, C. (2007). User Modeling in the Social Web. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_91
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DOI: https://doi.org/10.1007/978-3-540-74829-8_91
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