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A review of content-based and context-based recommendation systems
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 …
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
Online learning is currently adopted by educational institutions worldwide to provide
students with ongoing education during the COVID‐19 pandemic. Even though online …
students with ongoing education during the COVID‐19 pandemic. Even though online …
E-learning course recommender system using collaborative filtering models
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 …
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
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 …
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 …
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
With web-based education and Technology Enhanced Learning (TEL) assuming new
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …
importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms …
A proposed paradigm for smart learning environment based on semantic web
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 …
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
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 …
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 …
provide personalised support to learners, due to large numbers of registered participants …
[PDF][PDF] Ontology and rule-based recommender system for e-learning applications
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 …
materials. Which has increased the demand for a recommendation system to filter …