Recommendation systems (RS) have become prevalent across different domains including
music, e-commerce, e-learning, entertainment, and social media to address the issue of …

The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm
for using Artificial Intelligence (AI) technologies in almost every domain; however, the …

Collaborative filtering recommendation algorithms generate suggestions based on similar
interactions between users. Although it provides accurate recommendations, the approach …

With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …

Sentiment analysis is a well-known and rapidly expanding study topic in natural language
processing (NLP) and text classification. This approach has evolved into a critical …

The growing attention to artificial intelligence-based applications has led to research interest
in explainability issues. This emerging research attention on explainable AI (XAI) advocates …

According to the user profile, a recommender system intends to offer items to the user that
may interest him. The recommendations have been applied successfully in various fields …

The awareness about healthy lifestyles is increasing, opening to personalized intelligent
health coaching applications. A demand for more than mere suggestions and mechanistic …

People's awareness about the importance of healthy lifestyles is rising. This opens new
possibilities for personalized intelligent health and coaching applications. In particular, there …

Recommendation systems play a crucial role in our daily lives, influencing many of our
significant and minor decisions. These systems also have become integral to the music …