An adaptive e-learning scenario not only allows people to remain motivated and engaged in
the learning process, but it also helps them expand their awareness of the courses they are …

Web based learning environments are being increasingly used at a large scale in the
education area. This situation has brought a dramatic growth in the amount of educational …

Personalized e-learning has often been linked to recommender systems, because to be able
to personalize a teaching process it is essential to consider the specificities of each learner …

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 success of e-learning systems depends on their capability to automatically retrieve and
recommend relevant learning content according to the preferences of specific learner …

The aim of a recommender system is to estimate the utility of a set of objects belonging to a
given domain, starting from the information available about users and objects. Adaptive e …

The aim of a recommender system is to estimate the relevance of a set of objects belonging
to a given domain, starting from the information available about users and objects. Adaptive …

Customized e-learning dependent on a recommender framework is perceived as the most
fascinating exploration field in schooling and education in this last decade, since the …

In this paper, we present the intelligent recommendations for e-Learning personalization
approach which uses recommendation techniques for educational data mining specifically …

The last decade has witnessed a great interest in e-learning and Web based education
areas. Unfortunately, most of the e-learning environments used in the educational field today …