In the modern era, when everyone has access to all the information around the world,
Internet plays the most crucial role in making the process much smoother. It has already …

The goal of this research is to define and capture a series of parameters that allowed us to
perform a comparative analysis and find correlations between explicit and implicit feedback …

Purpose A recommendation algorithm is typically applied to speculate on users' preferences
based on their behavioral characteristics. The purpose of this paper is to provide a …

In this study, we propose the architecture of a content-based recommender system aimed at
the selection of reviewers (experts) to evaluate research proposals or articles. We introduce …

Friend recommendation (FR) in social networks has been widely studied in recent years,
which mainly focuses on social relationships and user interests. Friend of Friend method is …

An effective E-Learning system must identify learning content appropriate for the needs of
the specific learner from among the many sources of learning content available. The …

Recommendation systems, although a well-studied topic, experience several shortcomings
when applied on e-learning platforms. While collaborative filtering methods have enjoyed …

Learning analytics (LA) has become a key area of study in educology, where it could assist
in customising teaching and learning. Accordingly, it is precisely this data analysis technique …

Learning is the long process of transforming information as well as experience into
knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of …

In this paper, we propose learners course recommender system of the E-Dirassa platform.
This system, which distinguishes between new and active learners, adopts three …