[HTML][HTML] A systematic review of ontology use in E-Learning recommender system
Ontology and knowledge-based systems typically provide e-learning recommender systems.
However, ontology use in such systems is not well studied in systematic detail. Therefore …
However, ontology use in such systems is not well studied in systematic detail. Therefore …
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …
people have an overwhelming number of available options to choose from, eg products to …
A novel deep multi-criteria collaborative filtering model for recommendation system
Recommender systems have been in existence everywhere with most of them using single
ratings in prediction. However, multi-criteria predictions have been proved to be more …
ratings in prediction. However, multi-criteria predictions have been proved to be more …
A fusion collaborative filtering method for sparse data in recommender systems
C Feng, J Liang, P Song, Z Wang - Information Sciences, 2020 - Elsevier
Collaborative filtering is a fundamental technique in recommender systems, for which
memory-based and matrix-factorization-based collaborative filtering are the two types of …
memory-based and matrix-factorization-based collaborative filtering are the two types of …
A flexible smart manufacturing system in mass personalization manufacturing model based on multi-module-platform, multi-virtual-unit, and multi-production-line
Since the 21st century, with the gradual improvement of customers' living standards and
autonomy, customers are increasingly pursuing personalized products. In order to adapt to …
autonomy, customers are increasingly pursuing personalized products. In order to adapt to …
An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
The use of Edmodo: Its impact on learning and students' attitudes toward it
AS Alqahtani - Journal of Information Technology Education …, 2019 - search.proquest.com
ABSTRACT Aim/Purpose Edmodo is a free and secure social learning network for teachers,
students, and parents. This research aims to investigate the impact of using the Edmodo …
students, and parents. This research aims to investigate the impact of using the Edmodo …
CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation
Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …
scholarly venues concomitant with exponential growth in interdisciplinary research and …
A systematic review of learning path recommender systems
Learning path recommender systems are emerging. Given the popularity of
ontology/knowledge-based systems in adaptive learning, this work reviews learning path in …
ontology/knowledge-based systems in adaptive learning, this work reviews learning path in …
BSPR: Basket-sensitive personalized ranking for product recommendation
B Wu, Y Ye - Information Sciences, 2020 - Elsevier
Product recommendation has played an important role in improving user experiences and
obtaining more profits. To optimize recommendation models, pairwise learning has become …
obtaining more profits. To optimize recommendation models, pairwise learning has become …