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• W2969387462 abstract "Data mining approaches have been tried in e-learning systems for information optimization and knowledge extraction to make decisions. In recent years, the recommendation system has gained popularity in every field be it e-commerce, entertainment, sports, healthcare, news, etc. However, in e-learning system, the recommender systems were not effectively utilized in comparison to other domains and thus emerged as a bottleneck for almost all e-learning systems for not offering flexible delivery of the learning resources. Current e-learning systems lack personalization features, and the information is presented in a static way despite their varying learning objectives and needs. The aim of recommender system is to personalize the information with respect to learner interest. The objective of this study is to highlight various algorithmic techniques that can be used to improve information retrieval process to provide effective recommendations to learners for improving their performance and satisfaction level." @default.
• W2969387462 created "2019-08-29" @default.
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• W2969387462 date "2020-01-01" @default.
• W2969387462 modified "2023-09-27" @default.
• W2969387462 title "Towards Increasing the Efficiency of E-Learning Systems Using Recommendation System Approach" @default.
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• W2969387462 doi "https://doi.org/10.4018/978-1-7998-0010-1.ch003" @default.
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