A Recommendation System for Selecting the Appropriate Undergraduate Program at Higher Education Institutions Using Graduate Student Data
Selecting the appropriate undergraduate program is a critical decision for students. Many elements influence this choice for secondary students, including financial, social, demographic, and cultural factors. If a student makes a poor choice, it will have implications for their academic life as well...
Main Authors: | Yara Zayed, Yasmeen Salman, Ahmad Hasasneh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/24/12525 |
Similar Items
-
Using Program Synthesis for Social Recommendations
by: Cheung, Alvin, et al.
Published: (2012) -
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
by: Antonio Jesus Fernandez-Garcia, et al.
Published: (2020-01-01) -
Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications
by: S. Bhaskaran, et al.
Published: (2021-09-01) -
Application of SVM methods for mid-term load forecasting
by: Božić Miloš, et al.
Published: (2011-01-01) -
Data-Mining-based filtering to support Solar Forecasting Methodologies
by: Tiago PINTO, et al.
Published: (2017-11-01)