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 …

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 …

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 …

With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …

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 …

In this paper, we proposed an evolving e-learning system which can adapt itself both to the
learners and the open the web and pointed out the differences of making recommendations …

Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …

With the rapid development of online learning technology, a huge amount of e-learning
materials have been generated which are highly heterogeneous and in various media …

Recommendation system is a significant part of e–learning systems for personalization and
recommendation of appropriate materials to the learner. However, in the existing …