overload problem in recent decades. Traditional recommender systems, however, suffer
from data sparsity and cold start problems. To address these issues, a great number of
recommendation algorithms have been proposed to leverage side information of users or
items (eg, social network and item category), demonstrating a high degree of effectiveness
in improving recommendation performance. This Research Commentary aims to provide a …