Social recommender systems have attracted a lot of attention from academia and industry.
On social media, users' ratings and reviews can be observed by all users, and have implicit …

Social influence is essential to social recommendation. Current influence-based social
recommendation focuses on the explicit influence on observed social links. However, in real …

In recent years, we have witnessed a flourish of social review websites. Internet users can
easily share their experiences on some products and services with their friends. Therefore …

Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

Social recommendation has emerged to leverage social connections among users for
predicting users' unknown preferences, which could alleviate the data sparsity issue in …

Attention is the behavioral and cognitive process of selectively concentrating on small
fraction of information while ignoring other perceivable information. Thus, user's attention …

Incorporating the influence of social relationships effectively is fundamental to social
recommendation (SR). However, most of the SR algorithms are based on the homophily …

Social friendship has been shown beneficial for item recommendation for years. However,
existing approaches mostly incorporate social friendship into recommender systems by …

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