Recommender systems (RSs) are programs that apply knowledge discovery techniques to
make personalized recommendations for user's information on the web. In online sharing …

Abstract Machine learning classifier is an important part of pattern recognition system; it is
also an important research field of machine learning. The main research object of this paper …

Trust can help participants in online social communities to make decisions; however, it is a
challenge for systems to map trust into computational models because of its subjective …

Trust in the cloud environment is not written into an agreement and is something earned. In
any trust evaluation mechanism, opinion leaders are the entities influencing the behaviors or …

Today, social networks become very popular and include a wide range of users. In these
networks, some users have a great influence ratio to other users who are called opinion …

Recommendation systems and content-filtering approaches based on annotations and
ratings essentially rely on users expressing their preferences and interests through their …

Abstract The Industrial Internet of Things (IIoT) has revolutionized the industrial sector by
providing advanced and intelligent applications. The objects and nodes communicate with …

Agent-based automated negotiation is a promising approach for business negotiation;
however, most studies in this field focus on negotiation strategies, ignoring the role of …

In the current scenario, the online social network plays an important role in decision support
system and for diffusion of product. In such type of networks, some people have significant …

Along with the convenience provided by the open online social networks (OSNs) for the
users, there are also many burning problems like insecure platform, untrustworthy …