A recommendation model for college majors based on deep learning and clustering algorithms
Authors: 
Yu Jian, Ning Xiao, and Li YoufengAuthors Info & Claims
Yu Jian, Ning Xiao, and Li YoufengAuthors Info & ClaimsAbstract
Many colleges in China have adopted the policy of recruiting students by academic subject categories in order to optimize the talent training mode. To solve the problems in major selection after enrollment, this paper has designed an intelligent algorithm model for recommending college majors. Compared with existing methods for assigning college majors, the model uses deep neural networks and clustering algorithms to simulate complex calculations in the human brain. It uses historical learning data from senior students or graduates to predict the future grades of freshmen, judge their adaptability to various college majors, reduce human interference in the college major selection process, recommend the most suitable college major to students.
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© 2024 – The authors. Published by IOS Press.
This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 13 June 2024
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