E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …

In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …

One of the anticipated challenges of today's e-learning is to solve the problem of
recommending from a large number of learning materials. In this study, we introduce a novel …

A recommender system is a piece of software that helps users to identify the most interesting
and relevant learning items from a large number of items. Recommender systems may be …

The enormity of the amount of learning materials in e-learning has led to the difficulty of
locating suitable learning materials for a particular learning topic, creating the need for …

Nowadays, e-learning, an intelligent learning system based on the formal teaching
methodology but with some electronic properties or resources, plays a major role for …

Traditional e-Learning environments are based on static contents considering that all
learners are similar, so they are not able to respond to each learner's needs. These systems …

The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

Various researches in E-learning mainly focused on improving learner achievements based
on learner profile. Explosive growth of distance learning has caused difficulty of locating …