RecoMMobile: A spatiotemporal recommender system for mobile users

The increasing popularity of smart mobile devices, that are opulently equipped with various sensors and permanently connected to the Internet, has made context-aware services a telco mainstream. Very popular group of context-aware services are location-based mashups - intelligent services that combine user location with other location-related data to provide users with an added value. This paper presents the RecoMMobile system that enables real-time location-based recommender service for products offered by a retail store chain to mobile users. Additionally, the RecoMMobile system is also a social recommendation tool because it allows users to forward recommendations to their friends by connecting with the Facebook social network.