State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning

State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning

Recommender systems (RSs) are increasingly recognized as intelligent software for predicting users’ opinions on specific items. Various RSs have been developed in different domains, such as e-commerce, e-government, e-resource services, e-business, e-library, e-tourism, and e-learning, to make excel...

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Bibliographic Details
Main Authors: Latifat Salau, Mohamed Hamada, Rajesh Prasad, Mohammed Hassan, Anand Mahendran, Yutaka Watanobe
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
recommender systems
similarity metrics
recommendation goal
learning object
recommendation techniques
deep learning
Online Access:https://www.mdpi.com/2076-3417/12/23/11996

Internet

https://www.mdpi.com/2076-3417/12/23/11996

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