Modeling Privacy Control in Context-Aware Systems
IEEE Pervasive Computing
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
MPDG - Mobile Profile based Distributed Grouping
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
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IEEE Intelligent Systems
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PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
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Personal and Ubiquitous Computing
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The successful provision of context aware services entails the attainment of equilibrium between the extent of personalization desired and the user's need for privacy. Two are the major elements that play a significant role: the user's location and the user's preferences. In this paper we focus on the latter, and propose to employ a social groups' creation methodology, so as to hierarchically organize the user preferences concerning any domain in different levels of detail. We describe some notions and metrics which play a key role in social networking frameworks, and we perform an evaluation study of three widely used clustering methods (k-means, hierarchical and spectral clustering) in the scope of social groups assessment and in regard to the cardinality of the profile used to assess users' preferences. The results of the work can be used in many applications, including personalized media delivery, offering a framework on which next generation multimedia access can be provided.