Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

The success of the Web is based largely on its open, decentralized nature; at the same time,
that allows for a wide range of perspectives and intentions. Trust is required to foster …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

With the emergence of online social networks, the social network-based recommendation
approach is popularly used. The major benefit of this approach is the ability of dealing with …

The purpose of trust and reputation systems is to strengthen the quality of markets and
communities by providing an incentive for good behaviour and quality services, and by …

As user-generated content and interactions have overtaken the web as the default mode of
use, questions of whom and what to trust have become increasingly important. Fortunately …

Social recommender systems utilize data regarding users' social relationships in filtering
relevant information to users. To date, results show that incorporating social relationship …

In recent years, the use of trust-based recommendation systems to predict the scores of
items not rated by users has attracted many researchers' interest. Accordingly, they create a …

One of the core goals of the Semantic Web is to store data in distributed locations, and use
ontologies and reasoning to aggregate it. Social networking is a large movement on the …

Abstract Recommender Systems based on Collaborative Filtering suggest to users items
they might like, such as movies, songs, scientific papers, or jokes. Based on the ratings …