A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

NS Raj, VG Renumol - Journal of Computers in Education, 2022 - Springer
In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …

[HTML][HTML] Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review

AE Onile, R Machlev, E Petlenkov, Y Levron, J Belikov - Energy Reports, 2021 - Elsevier
Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …

Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context

F Longo, L Nicoletti, A Padovano - Computers & industrial engineering, 2017 - Elsevier
As the Industry 4.0 takes shape, human operators experience an increased complexity of
their daily tasks: they are required to be highly flexible and to demonstrate adaptive …

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 …

[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

Y Himeur, A Alsalemi, A Al-Kababji, F Bensaali… - Information …, 2021 - Elsevier
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

Fifteen years of recommender systems research in higher education: Current trends and future direction

V Maphosa, M Maphosa - Applied Artificial Intelligence, 2023 - Taylor & Francis
Artificial intelligence applications have revolutionized business, industry, and education.
Applications developed for other sectors are being adapted for education. The amount of …

Personalized course recommendation system fusing with knowledge graph and collaborative filtering

G Xu, G Jia, L Shi, Z Zhang - Computational Intelligence and …, 2021 - Wiley Online Library
Personalized courses recommendation technology is one of the hotspots in online
education field. A good recommendation algorithm can stimulate learners' enthusiasm and …

A social-semantic recommender system for advertisements

F García-Sánchez, R Colomo-Palacios… - Information Processing …, 2020 - Elsevier
Social applications foster the involvement of end users in Web content creation, as a result
of which a new source of vast amounts of data about users and their likes and dislikes has …

[HTML][HTML] Digital twin and smart manufacturing in industries: A bibliometric analysis with a focus on industry 4.0

G Moiceanu, G Paraschiv - Sensors, 2022 - mdpi.com
Technology is being used in our society in all areas, mostly in industry, and generates the
most interest in current research since it is a part of day-to-day activities. The main objective …

Comparative study of recommender system approaches and movie recommendation using collaborative filtering

T Anwar, V Uma - International Journal of System Assurance Engineering …, 2021 - Springer
The increasing demand for personalized information has resulted in the development of the
Recommender System (RS). RS has been widely utilized and broadly studied to suggest the …