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A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020
In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …
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
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 …
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
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 …
their daily tasks: they are required to be highly flexible and to demonstrate adaptive …
Review of ontology-based recommender systems in e-learning
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 …
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
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
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
Artificial intelligence applications have revolutionized business, industry, and education.
Applications developed for other sectors are being adapted for education. The amount of …
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 …
education field. A good recommendation algorithm can stimulate learners' enthusiasm and …
A social-semantic recommender system for advertisements
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 …
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
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 …
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
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 …
Recommender System (RS). RS has been widely utilized and broadly studied to suggest the …