Abstract:The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has created opportunities to sense and share location, motion, acoustic and visual data in a network of mobile devices. In this paper we present a mobile recommender system that exploits the individual data collected by multiple users on their mobile phones. Our aim is to exploit the potential of the computational capabilities of modern mobile devices to provide personalized and better services to t… Show more
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