We present a prototype recommendation system for mobile applications that exploits a rather general description of the user's context. One of the main features of the proposed solution is the proactive and completely automated procedure of querying the apps marketplace, able to retrieve a set of apps and to rank them on the basis of the current situation of the user. We also present a first experimental evaluation that confirms the effectiveness of the general design and implementation choices and sheds some light on the peculiar features and critical issues of recommendation systems for mobile applications.
