With a large amount of complex network data available, most existing recommendation
models consider exploiting rich user social relations for better interest targeting. In these …

With the explosive growth of online social networks, it is now well understood that social
information is highly helpful to recommender systems. Social recommendation methods are …

Recommender systems with social networks have been well studied in recent years.
However, most of these methods ignore the social contextual information among users and …

Online social platforms have provided a large amount of available information to
recommendation systems. With this intuition, social recommendation systems emerged and …

Exponential growth of information generated by social networks requires efficient and
scalable recommendation techniques to produce useful results. Traditional methods have …

Social recommendation becomes a current research focus, which leverages social relations
among users to alleviate data sparsity and cold-start problems in recommender systems …

Recent years have seen a surge of research on social recommendation techniques for
improving recommender systems due to the growing influence of social networks to our daily …

Recommender systems can suffer from data sparsity and cold start issues. However, social
networks, which enable users to build relationships and create different types of items …

With the prevalence of online social platforms, social recommendation has emerged as a
promising direction that leverages the social network among users to enhance …

Social networks have proven to be effective for high-quality item recommendation. Most
social recommenders, however, are insufficient to capture the user preferences over items …