Title :
RecoMMobile: A spatiotemporal recommender system for mobile users
Author :
Sambolec, Igor ; Rukavina, Ivan ; Podobnik, Vedran
Author_Institution :
Dept. of Telecommun., Univ. of Zagreb, Zagreb, Croatia
Abstract :
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.
Keywords :
Internet; mobile computing; recommender systems; social networking (online); Facebook social network; Internet; RecoMMobile system; context-aware service; location-based mashup; location-related data; mobile users; real-time location-based recommender service; smart mobile device; social recommendation tool; spatiotemporal recommender system; telco mainstream; Context; Facebook; Google; Meteorology; Mobile communication; Mobile handsets; Recommender systems;
Conference_Titel :
Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on
Conference_Location :
Split
Print_ISBN :
978-1-4577-1439-9
