An essential goal of recommendation systems is to provide users with accurate and
personalized recommendations that meet their preferences. With the rapid growth of IoT …

The present information age is characterized by an ever-increasing digitalization. Smart
devices quantify our entire lives. These collected data provide the foundation for data-driven …

Smart devices are used in the era of the Internet of Things (IoT) to provide efficient and
reliable access to services. IoT technology can recognize comprehensive information …

Since the creation of the Web, recommender systems (RSs) have been an indispensable
personalization mechanism in information filtering. Most state-of-the-art RSs primarily …

Due to the growth of IoT applications, especially health care, the information of patients'
health records using data collection from IoT‐connected devices has been considered …

Recommendation systems play a crucial role in assisting users by providing personalized
suggestions based on their preferences. However, these systems often face challenges …

Exploitation and use of disruptive technologies, such as the Internet of Things, recommender
systems, and artificial intelligence, with an ambidextrous balance, are a challenge …

Recommendation algorithms have been initially applied on the online business platform of
industrial Internet of Things (IoT) devices. However, traditional recommendation algorithms …

Recommendation systems play a significant role in alleviating information overload in the
digital world. They provide suggestions to users based on past symmetric activities or …

The collection of physiological data from people has been facilitated due to the mass use of
cheap wearable devices. Although the accuracy is low compared to specialized healthcare …