Social media recommendation differs from traditional recommendation approaches as it needs considering not only the content information and users' similarities, but also users' social relationships and behavior within an online social network as well. In this article, a recommender system - designed for big data applications - is used for providing useful recommendations in online social networks. The proposed technique represents a collaborative and user-centered approach that exploits the interactions among users and generated multimedia contents in one or more social networks in a novel and effective way. The experiments performed on data collected from several online social networks show the feasibility of the approach towards the social media recommendation problem.

Sperlì, G., Amato, F., Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A. (2018). A Social Media Recommender System. INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT, 9(1), 36-50 [10.4018/IJMDEM.2018010103].

A Social Media Recommender System

Mercorio, Fabio;Mezzanzanica, Mario;
2018

Abstract

Social media recommendation differs from traditional recommendation approaches as it needs considering not only the content information and users' similarities, but also users' social relationships and behavior within an online social network as well. In this article, a recommender system - designed for big data applications - is used for providing useful recommendations in online social networks. The proposed technique represents a collaborative and user-centered approach that exploits the interactions among users and generated multimedia contents in one or more social networks in a novel and effective way. The experiments performed on data collected from several online social networks show the feasibility of the approach towards the social media recommendation problem.
Articolo in rivista - Articolo scientifico
Big Data, Multimedia, Recommender System, Social Network, Social Media Contents;
English
2018
9
1
36
50
none
Sperlì, G., Amato, F., Mercorio, F., Mezzanzanica, M., Moscato, V., Picariello, A. (2018). A Social Media Recommender System. INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT, 9(1), 36-50 [10.4018/IJMDEM.2018010103].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/179961
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 6
Social impact