The pervasive presence of social media greatly enriches online users' social activities,
resulting in abundant social relations. Social relations provide an independent source for …

Traditional recommender systems often suffer from the problem of data sparsity, because
most users rate only a few of the millions of possible items. With the development of social …

Social recommendation, which aims to exploit social information to improve the quality of a
recommender system, has attracted an increasing amount of attention in recent years. A …

Social recommendation, which utilizes social relations to enhance recommender systems,
has been gaining increasing attention recently with the rapid development of online social …

Recommender systems attempt to suggest information that is of potential interest to users
helping them to quickly find information relevant to them. In addition to historical user–item …

Social connections play a vital role in improving the performance of recommendation
systems (RS). However, incorporating social information into RS is challenging. Most …

While users trust the selections of their social friends in recommendation systems, the
preferences of friends do not necessarily match. In this study, we introduce a deep learning …

Recently, social recommendation becomes a hot research direction, which leverages social
relations among users to alleviate data sparsity and cold-start problems in recommender …

Research of social recommendation aims at exploiting social information to improve the
quality of a recommender system. It can be further divided into two classes. Explicit social …

Social-based recommender systems have been recently proposed by incorporating social
relations of users to alleviate sparsity issue of user-to-item rating data and to improve …