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 …

Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

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

Personalized learning based on learning analytics has become increasingly important for
teachers' development via providing adaptive contents and strategies for teachers by …

Almost unlimited access to educational information plethora came with a drawback: finding
meaningful material is not a straightforward task anymore. Based on a survey related to how …

Purpose With the exponential growth of the amount of data, the most sophisticated systems
of traditional libraries are not able to fulfill the demands of modern business and user needs …

This paper aims to examine how much teachers are interested in using the Internet and how
much they are trained to use the Internet in teaching and in their personal development, as …

The classical occupancy problem is concerned with studying the number of empty bins
resulting from a random allocation of m balls to n bins. We provide a series of tail bounds on …

Personalized recommendation in e-learning has attracted the interest of many researchers.
How to select the proper learning objects (LOs) and provide a suitable learning path for …

Nowadays, most of e-learning systems embody online discussion forums as a medium for
collaborative learning that supports knowledge sharing and information exchanging …