A Hybrid Recommender System to Enrollment for Elective Subjects in Engineering Students using Classification Algorithms

• Published in: International journal of advanced computer science & applications Vol. 11; no. 7
• Main Author: Rivera, Jerson Erick Herrera
• Format: Journal Article
• Language: English
• Published: West Yorkshire Science and Information (SAI) Organization Limited 2020
• Subjects: Algorithms; Colleges & universities; Engineering education; Hybrid systems; Machine learning; Natural language processing; Recommender systems; Students

One of the main problems that engineering university students face is making the correct decision regarding the lines of elective subjects to enroll based on available information (preferences, syllabus, schedules, subject content, possible academic performance, teacher, curriculum, and others). Und...