Pcrs: Personalized course recommender system based on hybrid approach
The traditional system of selecting courses to carry out research work is time consuming,
risky and a tedious task, that not only badly affect the performance but the learning …
risky and a tedious task, that not only badly affect the performance but the learning …
Recommender system for e-learning based on personal learning style
NN Qomariyah, AN Fajar - 2019 international seminar on …, 2019 - ieeexplore.ieee.org
Online shopping has become an important part of lifestyle nowadays. Despite their many
practical advantages, the users of online shopping systems can be overwhelmed with the …
practical advantages, the users of online shopping systems can be overwhelmed with the …
Hy-MOM: Hybrid recommender system framework using memory-based and model-based collaborative filtering framework
Lack of personalization, rating sparsity, and cold start are commonly seen in e-Learning
based recommender systems. The proposed work here suggests a personalized fused …
based recommender systems. The proposed work here suggests a personalized fused …
Measuring learner's performance in e-learning recommender systems
KI Ghauth, NA Abdullah - Australasian Journal of Educational …, 2010 - ajet.org.au
A recommender system is a piece of software that helps users to identify the most interesting
and relevant learning items from a large number of items. Recommender systems may be …
and relevant learning items from a large number of items. Recommender systems may be …
Hybrid filtering recommendation system in an educational context: experiment in higher education in Morocco
M Baidada, K Mansouri, F Poirier - International Journal of Web …, 2022 - igi-global.com
In education, the needs of learners are different in the majority of the time, as each has
specificities in terms of preferences, performance and goals. Recommendation systems …
specificities in terms of preferences, performance and goals. Recommendation systems …
E-Learning personalization based on hybrid recommendation strategy and learning style identification
Personalized learning occurs when e-learning systems make deliberate efforts to design
educational experiences that fit the needs, goals, talents, and interests of their learners …
educational experiences that fit the needs, goals, talents, and interests of their learners …
Hybrid content and collaborative filtering based recommendation system for e-learning platforms
VBP Tolety, EV Prasad - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
Recommendation systems, although a well-studied topic, experience several shortcomings
when applied on e-learning platforms. While collaborative filtering methods have enjoyed …
when applied on e-learning platforms. While collaborative filtering methods have enjoyed …
Recommendation systems for interactive multimedia entertainment
S Aggarwal, D Goswami, M Hooda… - Data visualization and …, 2020 - Springer
In the era of internet has embarked on World Wide Web for searching or knowing any
information about any topic which has resulted in humongous information load. Access to …
information about any topic which has resulted in humongous information load. Access to …
An efficient personalized trust based hybrid recommendation (tbhr) strategy for e-learning system in cloud computing
S Bhaskaran, B Santhi - Cluster Computing, 2019 - Springer
The fast evolution of e-learning systems offers learners with huge opportunities for
accessing learning activities via online. This largely provides support and improvement to …
accessing learning activities via online. This largely provides support and improvement to …