The book contains contributions to the research field of User Behavior Modeling (UBM) and Cognitive modelling, which plays a critical role in user interest learning and has been extensively used in recommender systems. It entails crucial interactive patterns between users and 
items that have been exploited bring compelling
improvements in many recommendation tasks. The concepts used here involve the application of computational models to design and build user interactive behaviour towards different user interphases. By combining user behaviour modelling and cognitive
perception, it is possible to gain a deeper understanding of how users interact with a product or service. This information can improve the user experience, make the product or service more user-friendly,
and increase engagement.