The recommender systems aim to predict potential demands of users by analyzing their
preferences and provide personalized recommendation services. User preferences can be …

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 the process of course learning, users incline to change their interests with the
improvements of their cognition. Existing course recommendation methods usually assume …

A social approach can be exploited for the Internet of Things (IoT) to manage a large number
of connected objects. These objects operate as autonomous agents to request and provide …

Social recommendation is effective in improving the recommendation performance by
leveraging social relations from online social networking platforms. Social relations among …

When users in online social networks make a decision, they are often affected by their
neighbors. Social recommendation models utilize social information to reveal the impact of …

Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

Abstract The use of Online Social Networks has been rapidly increased over the last years.
In particular, Social Media Networks allow people to communicate, share, comment and …

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 …

Automatic recommendation has become an increasingly relevant problem to industries,
which allows users to discover new items that match their tastes and enables the system to …