Publication: Degree program recommender using collaborative filtering algorithm
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Date
2023-05
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Don Mariano Marcos Memorial State Univeristy - South La Union Campus
Abstract
The Degree Program Recommender using Collaborative Filtering Algorithm is a
machine learning approach that recommends degree programs to incoming college
students based Oil their grades.
Collaborative Filtering is a popular algorithm used in recommender systems to
suggest items based on the preferences of similar users. III this case, it is used to
recommend degree programs to students who have similar grades. Neighborhood
Selection is an essential step in this algorithm, where a subset of similar students, called a
neighborhood, is selected to make recommendations. The selection process involves
finding students with similar grades to the target student. The system then uses the grades
of the neighborhood to recommend degree programs that match the target student's
academic performance and abilities.
The Degree Program Recommender using Collaborative Filtering Algorithm and
Neighborhood Selection can help students make informed decisions about their academic
careers. By considering a student's grades, the system call recommend degree programs
that alien with the student's interests and academic abilities, increasing the likelihood of
success and satisfaction.
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Citation
Rarang, A. J. L., Estoque, M. G. V., Laroco, G. C., Pascua, A. M., & Soriano, E. J. R. (2023) Degree program recommender using collaborative filtering algorithm [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State Univeristy - South La Union Campus, Agoo, La Union.