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Recommender Systems in E-learning
2022
Journal of Smart Environments and Green Computing
In this era when every aspect of society is accelerating, people are always seeking improvement to stay competitive in their careers. E-learning systems fit into the ever challenging situation and provide learners with remote learning opportunities and abundant learning resources. Facing with the numerous resources online, users need support in deciding which course to take, thus recommender systems are applied in E-learning to provide learners with personalized services by automatically
doi:10.20517/jsegc.2020.06
fatcat:p63xam32z5dx3eyvbu4qrjujyq