[HTML][HTML] Developing 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 commonly used, but inefficient tool, for they do not consider a …

Recommender System in Academic Choices of Higher Education: A Systematic Review

N Kamal, F Sarkar, A Rahman, S Hossain… - IEEE …, 2024 - ieeexplore.ieee.org
Recommender systems have gained significant attention as powerful tools for supporting
decision-making processes in various domains. However, the understanding of their impact …

A content-based recommender system for choosing universities

MJ Mokarrama, S Khatun… - Turkish Journal of …, 2020 - journals.tubitak.gov.tr
Recommender system (RS) is a knowledge discovery and decision-making system that has
been extensively used in a myriad of applications to assist people in making distinct choices …

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 …

A nonlinear goal programming model for university admission capacity planning with modified differential evolution algorithm

SA El-Quliti, AHM Ragab, R Abdelaal… - Mathematical …, 2015 - Wiley Online Library
This paper proposes a nonlinear Goal Programming Model (GPM) for solving the problem of
admission capacity planning in academic universities. Many factors of university admission …

[PDF][PDF] Web recommender system for private universities' admission in Iraq: Uhd case study

K Wakil, B Akram, N Kamal, A Safi - … of e-Education, e-Business, e …, 2014 - researchgate.net
Admission recommender system provides a way to finding suitable course in universities
that best fit students' merits and interests. Iraqi universities are using a complex admission …

Leveraging item attribute popularity for group recommendation

R Saxena, S Kaur, H Ahuja, S Narang - International Journal of System …, 2024 - Springer
Abstract Group Recommendation Systems (GRS) are ubiquitously available to give
recommendations to users indulging in group activities. These systems recommend items …

Comparative analysis of baseline models, ensemble models, and deep models for prediction of graduate admission

M Vasani, S Patel, J Kaur - … of 3rd International Conference on Machine …, 2022 - Springer
As there is a rise in number of academic institutes all over the world, shortlisting the
universities to apply has become a tedious task for aspiring graduate student. There are …

Higher education admission capacity planning using a large scale nonlinear integer goal programming model with improved differential evolution algorithm

AHM Ragab, SA El-Quliti, R Abdelaal… - Journal of …, 2016 - ingentaconnect.com
This paper proposes a large-scale nonlinear integer goal programming model (LSNLIGPM)
for solving the general problem of admission capacity planning at the national and/or …

Machine learning model for recommending suitable courses of study to candidates in Nigerian Universities

G Aliyu, U Haruna, I Abdulmumin, M Isma'il… - … Science and Its …, 2021 - Springer
The diversity of courses and complications of admission requirements are complex tasks
particularly in Nigerian Universities where a number of parameters are used during the …