The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …

A traceability system can quickly and accurately query product supply chain circulation
information. It is difficult to obtain processing information and achieve sharing due to the big …

Modern society devotes a significant amount of time to digital interaction. Many of our daily
actions are carried out through digital means. This has led to the emergence of numerous …

In this work a novel recommender system (RS) for Tourism is presented. The RS is context
aware as is now the rule in the state-of-the-art for recommender systems and works on top of …

With the prevalence of Internet of Things (IoT)-based social media applications, the distance
among people has been greatly shortened. As a result, recommender systems in IoT-based …

Traditional recommender system makes recommendations to users based on their
preferences by utilising overall ratings. However, these recommendations do not accurately …

Recommender systems (RSs) have emerged as a vital tool to handle the overloaded and
huge information very effectively, caused by exceptional growth of means on Web …

Norms have been widely enacted in both human and agent societies to regulate the actions
that individuals can perform. However, although legislators may have ethics in mind when …