Recommendation in Social Media Networks
Flora Amato, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlí · 2017
In this paper, we propose and describe a novel recommender system for big data applications that provides recommendations on the base of the interactions among users and generated multimedia contents in one or more social media networks, leveraging a collaborative and user-centered approach. Preliminary experiments using data of several online social networks show how our approach obtains very promising results.