ABSTRACT

E-Learning is the learning process created by interaction with digitally delivered content, services and support. Learner’s profile plays a crucial role in the evaluation process and to improve the elearning process. The customization of content is necessary to provide better services. Mapreduce is distributed programming model which is developed by Google. The aim of this paper is to increase the speed and to decrease the processing time by using K-MR algorithm instead of K-Means clustering algorithm. K-Means algorithm can be applied to the MapReduce model and can efficiently process large datasets called K-MR algorithm. This system customizes the contents based on learner’s performance and effective for both learner and instructor.