Summary
This contribution presents a user profile modelling approach based on fuzzy logic techniques. The proposed approach is conceived to find application in various contexts, with the aim of providing personalised contents to different categories of users. Both contents and users are described by metadata, so a description language is introduced along with a formal model defining their association mechanism. The strength of the model is the use of the expressive flexibility of fuzzy sets exploited by an innovative scheme of metadata. Along with the formal presentation of the profile modelling approach, the design of a software system based on a Service Oriented Architecture is presented. The system exposes a number of services to be consumed by information systems for personalized content access. In this way the system can be used in different application contexts.
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Mencar, C., Castiello, C., Dell’Agnello, D., Fanelli, A.M. (2009). A System for Fuzzy Items Recommendation. In: Castellano, G., Jain, L.C., Fanelli, A.M. (eds) Web Personalization in Intelligent Environments. Studies in Computational Intelligence, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02794-9_6
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DOI: https://doi.org/10.1007/978-3-642-02794-9_6
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