%0 Journal Article
	%A Ahmad. A. Kardan and  Amir Narimani and  Foozhan Ataiefard
	%D 2017
	%J International Journal of Computer and Systems Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 130, 2017
	%T A Hybrid Approach for Thread Recommendation in MOOC Forums
	%U https://publications.waset.org/pdf/10007978
	%V 130
	%X Recommender Systems have been developed to provide contents and services compatible to users based on their behaviors and interests. Due to information overload in online discussion forums and users diverse interests, recommending relative topics and threads is considered to be helpful for improving the ease of forum usage. In order to lead learners to find relevant information in educational forums, recommendations are even more needed. We present a hybrid thread recommender system for MOOC forums by applying social network analysis and association rule mining techniques. Initial results indicate that the proposed recommender system performs comparatively well with regard to limited available data from users' previous posts in the forum.
	%P 2360 - 2366