ABSTRACT

The recommender systems are the technique of processing and evaluation of user behavioral data in order to suggest the resources according to user needs. In e-learning system, it is actually used to suggest resources and relevant contents to learners. Thus e-Learning recommender system is a technique to identify requirements of learner to provide relevant learning content. In this paper current state-of-art for the e-learning recommendation system is reviewed. In addition of that recent research work in the direction of enhancing the user’s experience in online learning is also reported.