This paper presents the essentials of the background, available literature and technologies presently available in e-leaning specifically recommender systems and its range of applications, different techniques used for the general recommender systems, e-learning recommender systems and the specific neighborhood-based recommender methods used. A comprehensive survey has been carried out to elucidate the types of neighborhood-based recommendation methods used in e-learning recommender systems. The paper highlights these methods with an comparative analysis of the recommendation methods.

E-learning, personalized learning, learning styles, recommender systems, neighborhood-based methods

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