A Context-Aware Multimedia Recommender System for activities planning in mobile environments

Exploring new applications and services for mobile environments has generated considerable excitement among both commercial companies and academics. In this paper we propose a context-aware recommender system that accommodates user’s needs with location-dependent multimedia information available in a mobile environment related to an indoor scenario. Specifically, we propose a recommender system for the planning of browsing activities that are based on objects features, users behaviours and on the current context which state is captured by apposite sensor networks. We present the features of such a system and discuss the proposed approach.