A Survey on Methodologies for E-Learning Recommender System

Paper Topic :

Data Mining

Author Name :

Nikhila Subhash Gupta

Abstract :

A huge amount of study material is available on web. The amount of online study material is growing exponentially which makes it difficult for users to choose a proper subset of it. Much of the time is spent on browsing and filtering information instead of using it. To overcome the issue, recommender systems are used. A recommender system in e-learning context is a software agent that “intelligently” recommends topics/ course material based on user history and actions taken by similar kind of users. The aim of recommender system is to select a useful study material which the learner/ users actually need to study. Our aim in this paper is to study various recommendation methodologies, compare and to study their usefulness

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