Recommendation systems for education: Systematic review
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 …
amounts of information online, which has become a problem for users regarding the time …
Recommendation systems in education: A systematic map** study
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 …
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 …
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
Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …
predicting users' opinions on specific items. Various RSs have been developed in different …
Develo** and evaluating a university recommender system
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 …
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
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 …
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 …
education becomes a step** stone in securing jobs with long-term perspective. As …
A university admission prediction system using stacked ensemble learning
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 …
Since an application is extremely dynamic, students often tend to wonder if their profile …
A College Major Recommendation System
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 …
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
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 …
time and labor to allocate course (s) to the prospective applicants. The study aimed at …