[HTML][HTML] Recommender Systems in E-learning
In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …
improvement to stay competitive in their careers. E-learning systems fit into the ever …
A review of deep learning-based recommender system in e-learning environments
T Liu, Q Wu, L Chang, T Gu - Artificial Intelligence Review, 2022 - Springer
While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …
more convenient for many people, it has also caused information overload. According to a …
Learning path recommendation system for programming education based on neural networks
T Saito, Y Watanobe - International Journal of Distance Education …, 2020 - igi-global.com
Programming education has recently received increased attention due to growing demand
for programming and information technology skills. However, a lack of teaching materials …
for programming and information technology skills. However, a lack of teaching materials …
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …
years, with many institutions focusing on improving the students' performance and the …
Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism
Speech emotion recognition (SER) is an interesting and difficult problem to handle. In this
paper, we deal with it through the implementation of deep learning networks. We have …
paper, we deal with it through the implementation of deep learning networks. We have …
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 …
predicting users' opinions on specific items. Various RSs have been developed in different …
Ribbon: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances
Deep learning model inference is a key service in many businesses and scientific discovery
processes. This paper introduces Ribbon, a novel deep learning inference serving system …
processes. This paper introduces Ribbon, a novel deep learning inference serving system …
Research on online learner modeling and course recommendation based on emotional factors
Y Wang - Scientific Programming, 2022 - Wiley Online Library
With the popularization of online education and the idea of learning anytime and anywhere,
more and more learners search and learn courses of various disciplines through online …
more and more learners search and learn courses of various disciplines through online …
Learning path recommender system based on recurrent neural network
T Saito, Y Watanobe - 2018 9th international conference on …, 2018 - ieeexplore.ieee.org
Programming education has recently received increased attention due to growing demands
for programming and information technology skills. However, a lack of teaching materials …
for programming and information technology skills. However, a lack of teaching materials …
Review of deep learning-based personalized learning recommendation
Online learning has become a significant way for learners to acquire knowledge, which
enables anybody to learn anywhere and anytime. However, how to choose appropriate …
enables anybody to learn anywhere and anytime. However, how to choose appropriate …