Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …

Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …

With the revival of neural networks, many studies try to adapt powerful sequential neural
models, ıe Recurrent Neural Networks (RNN), to sequential recommendation. RNN-based …

Although MOOCs platforms offer a unique way to provide information for a large cohort of
participants, only a small percentage of participants complete MOOCs. The high number of …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

ABSTRACT E-learning platforms and processes face several challenges, among which is
the idea of personalizing the e-learning experience and to keep students motivated and …

Background: Health recommender systems (HRSs) offer the potential to motivate and
engage users to change their behavior by sharing better choices and actionable knowledge …

Augmented Reality is a technique that enables users to interact with their physical
environment through the overlay of digital information. While being researched for decades …