A review of content-based and context-based recommendation systems

U Javed, K Shaukat, IA Hameed, F Iqbal… - … Journal of Emerging …, 2021 - learntechlib.org
In our work, we have presented two widely used recommendation systems. We have
presented a context-aware recommender system to filter the items associated with user's …

Students' experience of online learning during the COVID‐19 pandemic: A province‐wide survey study

L Yan, A Whitelock‐Wainwright, Q Guan… - British journal of …, 2021 - Wiley Online Library
Online learning is currently adopted by educational institutions worldwide to provide
students with ongoing education during the COVID‐19 pandemic. Even though online …

E-learning course recommender system using collaborative filtering models

KK Jena, SK Bhoi, TK Malik, KS Sahoo, NZ Jhanjhi… - Electronics, 2022 - mdpi.com
e-Learning is a sought-after option for learners during pandemic situations. In e-Learning
platforms, there are many courses available, and the user needs to select the best option for …

Sampling and noise filtering methods for recommender systems: A literature review

K Jain, R **dal - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In the era of online business, many e-commerce sites have evolved which recommend items
according to one's needs and interests. Plenty of data is available to be processed to make …

Ontology-based recommender system in higher education

C Obeid, I Lahoud, H El Khoury… - Companion proceedings of …, 2018 - dl.acm.org
Academic advising is limited in its ability to assist students in identifying academic pathways.
Selecting a major and a university is a challenging process rife with anxiety. Students at high …

Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs

A Agarwal, DS Mishra, SV Kolekar - Cogent Engineering, 2022 - Taylor & Francis
With web-based education and Technology Enhanced Learning (TEL) assuming new
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …

A proposed paradigm for smart learning environment based on semantic web

S Ouf, M Abd Ellatif, SE Salama, Y Helmy - Computers in Human Behavior, 2017 - Elsevier
The current approaches of e-learning face challenges, in isolation of learners from learning
process, and shortage of learning process quality. The researchers mentioned that the next …

Auto-generation of smart contracts from domain-specific ontologies and semantic rules

O Choudhury, N Rudolph, I Sylla… - … on Internet of Things …, 2018 - ieeexplore.ieee.org
Smart contracts are essential in implementing and automating transactions in a blockchain
network. The translation of existing business rules on transactions to a smart contract is …

Adaptive learning module for a conversational agent to support MOOC learners

N González-Castro, PJ Muñoz-Merino… - Australasian Journal of …, 2021 - ajet.org.au
Massive open online courses (MOOCs) pose a challenge for instructors when trying to
provide personalised support to learners, due to large numbers of registered participants …

[PDF][PDF] Ontology and rule-based recommender system for e-learning applications

B Bouihi, M Bahaj - … Journal of Emerging Technologies in Learning …, 2019 - academia.edu
The continuous growth of the internet has given rise to an overwhelming mass of learning
materials. Which has increased the demand for a recommendation system to filter …