This article presents a systematic literature review on hybrid recommendation systems
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …

The exponential increase in digital data has increased the amount of available online
information. This complicates the user's decision-making. Most online merchants and …

Medical recommender systems are applications in the field of health. These systems use
Artificial Intelligence techniques to provide personalized recommendations to healthcare …

E-commerce platforms are increasingly using machine learning to provide personalized
shopping experiences to their users. By analyzing user preferences, purchase history, and …

In recent years, many students have accepted MOOCs as a means of education.. Due to the
enormous number of courses available through MOOC, students need help in identifying …

A Recommendation System (also known as Recommender System) is built for the purpose
of recommending similar items to the user based on their interest. The item can be anything …

This article presents a systematic literature review on hybrid recommendation systems
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …

The accelerated tremendous reach of web applications substantially raises the demand for
effective recommender systems to examine and filter required content from the vast quantity …

Recommendation Systems (RS) have evolved as a response to information overload
caused by the growth in online content, increasing users' search time and information …

Software companies have been using Design Thinking (DT) as a problem-solving approach
to put the user at the center of the development process, to understand and to develop …