Recommendation systems for education: Systematic review

MC Urdaneta-Ponte, A Mendez-Zorrilla… - Electronics, 2021 - mdpi.com
Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

Recommendation systems in education: A systematic map** study

AC Rivera, M Tapia-Leon, S Lujan-Mora - Proceedings of the international …, 2018 - Springer
Several researchers study recommendation systems to assist users in the retrieval of
relevant goods and services, mostly used in e-commerce. However, there is limited …

University recommender system based on student profile using feature weighted algorithm and KNN

P Nagaraj, K Saiteja, KK Ram, KM Kanta… - … Computing and Data …, 2022 - ieeexplore.ieee.org
This article removes the recommender structure for undergrad and graduate understudies
which can help with picking the best schools matching their profile. The proposed model has …

State-of-the-art survey on deep learning-based recommender systems for e-learning

L Salau, M Hamada, R Prasad, M Hassan… - Applied Sciences, 2022 - mdpi.com
Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …

Develo** and evaluating a university recommender system

M Elahi, A Starke, N El Ioini, AA Lambrix… - Frontiers in Artificial …, 2022 - frontiersin.org
A challenge for many young adults is to find the right institution to follow higher education.
Global university rankings are a commonly used, but inefficient tool, for they do not consider …

Dynamic multi-criteria decision making of graduate admission recommender system: AHP and fuzzy AHP approaches

W Wongvilaisakul, P Netinant, M Rukhiran - Sustainability, 2023 - mdpi.com
The optimal management of personal resources impacts everyone's quality of life. An
investment in graduate education is a sustainable opportunity for improved outcomes in …

A graduate school recommendation system using the multi-class support vector machine and KNN approaches

A Baskota, YK Ng - … on Information Reuse and Integration (IRI), 2018 - ieeexplore.ieee.org
With the advancement in technology and increased demand on skilled workers these days,
education becomes a step** stone in securing jobs with long-term perspective. As …

A university admission prediction system using stacked ensemble learning

S Sridhar, S Mootha, S Kolagati - 2020 Advanced Computing …, 2020 - ieeexplore.ieee.org
For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

A College Major Recommendation System

SA Stein, G M. Weiss, Y Chen, DD Leeds - Proceedings of the 14th ACM …, 2020 - dl.acm.org
College students are required to select a major but are often provided with only a modest
amount of support in making this important decision. A poor decision is detrimental to the …

An autonomous courses recommender system for undergraduate using machine learning techniques

M Isma'il, U Haruna, G Aliyu… - 2020 international …, 2020 - ieeexplore.ieee.org
A University admission process is a complex process that needs a tremendous amount of
time and labor to allocate course (s) to the prospective applicants. The study aimed at …