文章基本信息

标题：SHORT SYSTEMATIC REVIEW ON E-LEARNING RECOMMENDER SYSTEMS
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作者：WASEEM M.CHUGHTAI ; ALI B.SELAMA ; IMRAN GHANI 等
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.
关键词：Recommender System (RS); E-learning; Content-based Filtering (CBF); Collaborative Filtering (CF); Knowledge-based Filtering (KBS); Hybrid Filtering (HF)