A Personalized Course Recommender System for E-Learning

In recent years, the internet has witnessed an aggressive growth in the amount of learning resources. This explosion of learning resources on the internet results in expanded interest for online learning resources by learners in e-learning environment. With this expansion of online learning resources, learners are experiencing challenges in deciding learning resources that are valuable and significant to their learning needs. Recommender systems can overcome this issue by filtering out inappropriate learning resources and automatically recommending suitable resources to the learners according to their interests. In this paper we are focusing on a course recommender system in an e-learning platform which tries to intelligently recommend courses to the learners based on their interest. This recommendation approach is used to provide learners some suggestions when they have trouble in choosing correct courses. It also allows us to study the behavior of learner regarding their course selection and suggests the best combination of courses in which the learners are interested