[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 …
Efficacy of social networking sites for sustainable education in the era of COVID-19: A systematic review
The sudden advent of the COVID-19 pandemic and the associated containment measures
require educational institutions of all sizes to adopt eLearning as the only option for …
require educational institutions of all sizes to adopt eLearning as the only option for …
Students' satisfaction and continuance intention of the cloud-based e-learning system: roles of interactivity and course quality factors
YM Cheng - Education+ Training, 2020 - emerald.com
Purpose The purpose of this study is to propose a research model based on expectation-
confirmation model (ECM) to examine whether interactivity and course quality factors (ie …
confirmation model (ECM) to examine whether interactivity and course quality factors (ie …
Personalised self-directed learning recommendation system
TB Lalitha, PS Sreeja - Procedia Computer Science, 2020 - Elsevier
Modern educational systems have changed drastically bringing in knowledge anywhere as
needed by the learner with the evolution of Internet. Availability of knowledge in public …
needed by the learner with the evolution of Internet. Availability of knowledge in public …
Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce
H Pan, H Zhou - Electronic Commerce Research, 2020 - Springer
In recent years, the rapid development of e-commerce has brought great convenience to
people. Compared with traditional business environment, e-commerce is more dynamic and …
people. Compared with traditional business environment, e-commerce is more dynamic and …
Emotion ontology studies: A framework for expressing feelings digitally and its application to sentiment analysis
Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …
discrete emotions and feelings, especially for research on sentiment analysis, which …
Detecting communities using social network analysis in online learning environments: Systematic literature review
Uncovering community structure has made a significant advancement in explaining,
analyzing, and forecasting behaviors and dynamics of networks related to different fields in …
analyzing, and forecasting behaviors and dynamics of networks related to different fields in …
Social network analysis using deep learning: applications and schemes
AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …
connected through online social networks. Due to very large number of users and huge …
Leveraging semantic features for recommendation: Sentence-level emotion analysis
C Yang, X Chen, L Liu, P Sweetser - Information Processing & …, 2021 - Elsevier
Personalized recommendation systems can help users to filter redundant information from a
large amount of data. Previous relevant researches focused on learning user preferences by …
large amount of data. Previous relevant researches focused on learning user preferences by …
A semantic and social‐based collaborative recommendation of friends in social networks
L Berkani - Software: Practice and Experience, 2020 - Wiley Online Library
The development of social media technologies has greatly enhanced social interactions.
The proliferation of social platforms has generated massive amounts of data and a …
The proliferation of social platforms has generated massive amounts of data and a …