Recommendation from implicit feedback is a highly challenging task due to the lack of
reliable negative feedback data. Only positive feedback are observed and the unobserved …

Recommendation from implicit feedback is a highly challenging task due to the lack of
reliable negative feedback data. Existing methods address this challenge by treating all the …

Incorporating social network information and contexts to improve recommendation
performance has been drawing considerable attention recently. However, a majority of …

Social recommender system, using social relation networks as additional input to improve
the accuracy of traditional recommender systems, has become an important research topic …

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

Social recommendation has been an active research topic over the last decade, based on
the assumption that social information from friendship networks is beneficial for improving …

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 …

With the explosive growth of online social networks, many social recommendation methods
have been proposed and demonstrated that social information has potential to improve the …

In the real world, when we seek our friends' opinions on various items or events, we request
verbal social recommendations. It has been observed that we often turn to our friends for …

Social relationships help to model user's potential preferences and improve
recommendation accuracy. In social recommendation, user decision-making will be affected …