A survey of recommendation systems: recommendation models, techniques, and application fields

H Ko, S Lee, Y Park, A Choi - Electronics, 2022 - mdpi.com
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

A review of text-based recommendation systems

S Kanwal, S Nawaz, MK Malik, Z Nawaz - IEEE Access, 2021 - ieeexplore.ieee.org
Many websites over the Internet are producing a variety of textual data; such as news,
research articles, ebooks, personal blogs, and user reviews. In these websites, the textual …

Review of ontology-based recommender systems in e-learning

G George, AM Lal - Computers & Education, 2019 - Elsevier
In recent years there has been an enormous increase in learning resources available online
through massive open online courses and learning management systems. In this context …

Machine learning for human learners: opportunities, issues, tensions and threats

ME Webb, A Fluck, J Magenheim… - Educational Technology …, 2021 - Springer
Abstract Machine learning systems are infiltrating our lives and are beginning to become
important in our education systems. This article, developed from a synthesis and analysis of …

Ontology-based personalized course recommendation framework

ME Ibrahim, Y Yang, DL Ndzi, G Yang… - IEEE Access, 2018 - ieeexplore.ieee.org
Choosing a higher education course at university is not an easy task for students. A wide
range of courses are offered by the individual universities whose delivery mode and entry …

[HTML][HTML] e-LION: Data integration semantic model to enhance predictive analytics in e-Learning

M Paneque, M del Mar Roldán-García… - Expert Systems with …, 2023 - Elsevier
In the last years, Learning Management systems (LMSs) are acquiring great importance in
online education, since they offer flexible integration platforms for organising a vast amount …

Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs

A Agarwal, DS Mishra, SV Kolekar - Cogent Engineering, 2022 - Taylor & Francis
With web-based education and Technology Enhanced Learning (TEL) assuming new
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …

An intelligent recommendation system for automating academic advising based on curriculum analysis and performance modeling

S Atalla, M Daradkeh, A Gawanmeh, H Khalil… - Mathematics, 2023 - mdpi.com
The explosive increase in educational data and information systems has led to new teaching
practices, challenges, and learning processes. To effectively manage and analyze this …

[Retracted] Construction of Student Information Management System Based on Data Mining and Clustering Algorithm

XH Yin - Complexity, 2021 - Wiley Online Library
Data mining is a new technology developed in recent years. Through data mining, people
can discover the valuable and potential knowledge hidden behind the data and provide …

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation

Y Lin, F Lin, W Zeng, J Xiahou, L Li, P Wu, Y Liu… - Knowledge-Based …, 2022 - Elsevier
In online learning scenarios, the learners usually hope to find courses that meet their
preferences and the needs for their future developments. Thus, there is a great need to …