The healthcare industry is experiencing a transformative impact from the Internet of Things
(IoT) revolution, characterized by technological advancements, enhanced economic …

In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …

Abstract Indoor Environmental Quality (IEQ) significantly influences health, cognitive
abilities, and even moods. With the rise of smart homes and the Internet of Things (IoT), the …

The research and applications of multimodal emotion recognition have become increasingly
popular recently. However, multimodal emotion recognition faces the challenge of lack of …

In recent years, several music recommendation systems have been developed with the aim
of incorporating valuable information into the user's modeling and recommendation process …

The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …

Recommender systems, in real-world circumstances, tend to limit user exposure to certain
topics and to overexpose them to others to maximize performance. However, repeated …

In this paper, we present a hybrid recommendation framework based on the combination of
graph embeddings and contextual word representations. Our approach is based on the …