Situation-Aware Adaptive Recommendation to Assist Mobile Users in a Campus Environment

Users in a campus need information about relevant individuals, buildings, events and available resources. In this paper, we propose a system to perform situation-aware adaptive recommendation of information to assist mobile users in a campus environment. The idea is to show information about the most relevant buildings and particular individuals situated nearby the user, taking into account the user situation, i.e., a snapshot of his/her context in a given instant, including his/her current activity, position and profile. This recommendation must be adapted, depending on the dynamic evolution of the user situation. Thus, the system is pervasive in the sense that it performs the most suitable recommendation at the right moment in the right place. A prototype of the recommender is being implemented.