Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …

Abstract Internet-of-Things (IoT) has become much more ubiquitous in the present era as
numerous novel applications employing it with technical units are being adapted to interact …

The creation of digital marketing has enabled companies to adopt personalized item
recommendations for their customers. This process keeps them ahead of the competition …

With the intelligentization of Maritime Transportation System (MTS), Internet of Thing (IoT)
and machine learning technologies have been widely used to achieve the intelligent control …

Recommender systems have greatly evolved in recent years and have become an integral
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …

With the emergence of mobile social networks, users can make friends or negotiate projects
at any time and anywhere in social communities through their mobile devices (such as …

Deep learning has aroused a lot of attention and has been used successfully in many
domains, such as accurate image recognition and medical diagnosis. Generally, the training …

With the continuous development of eHealthcare systems, medical service recommendation
has received great attention. However, although it can recommend doctors to users, there …

In recent years, an increase in group activities on websites has led to greater demand for
highly-functional group recommender systems. The goal of group recommendation is to …

Analytics over social graphs allows to extract valuable knowledge and insights for many
fields like community detection, fraud detection, and interest mining. In practice …