期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2019
卷号：11
期号：1
页码：1-8
DOI：10.21817/ijcse/2019/v11i1/191101004
出版社：Engg Journals Publications
摘要：The recommender systems are the technique of processing and evaluation of user behavioral data in order to suggest the resources according to user needs. In e-learning system, it is actually used to suggest resources and relevant contents to learners. Thus e-Learning recommender system is a technique to identify requirements of learner to provide relevant learning content. In this paper current state-of-art for the e-learning recommendation system is reviewed. In addition of that recent research work in the direction of enhancing the user’s experience in online learning is also reported.
关键词：E;learning; Semantic Web; Personalization; User Behavior; Recommendation System
