期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：57
期号：2
出版社：Journal of Theoretical and Applied
摘要：In www (W3), many researchers use recommender systems in e-learning environmental domain. The recommender system in e-learning is actually used to suggest resources and relevant learning contents to learners regarding their required goals. Goal, in the e-Learning recommender system, is an identification of requirements and achievements of relevant items (learning content) required by the learner. This paper reviews the landscapes of current state-of-art recommender systems in e-learning environment. This paper is limited to discuss four types of filtering approaches, their benefits, limitations and cold-start problem with respect to recommender systems. The review of domain and previous research improvement provide timely and useful insight about recommender systems and cold-start issue in e-learning recommendation system domain.
