A case study of active, continuous and predictive social media analytics for smart city

Abstract

Abstract. Imagine you are in Milano for the Design Week. You have just spent a couple of days attending few nice events in Brera district. Which of the other hundreds of events spread around in Milano shall you attend now? This paper presents a system able to recommend venues to the visitors of such a city-scale event based on the digital footprints they left on Social Media. By combining deductive and inductive stream reasoning techniques with visitor-modeling functionality, this system se-mantically analyses and links visitors ’ social network activities to pro-duce high-quality recommendations even when information about visi-tors ’ preferences for venues and events is sparse.