Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

<Previous Article In Volume
Next Article In Volume>

Course Selection Recommendation Based on Hybrid Recommendation Algorithms

Authors
Luxiao Zhu1, Ben Wang1, *
1College of Information Science and Technology, Hangzhou Normal University, Hangzhou, 310000, China
*Corresponding author. Email: 20170056@hznu.edu.cn
Corresponding Author
Ben Wang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_60How to use a DOI?
Keywords
Collaborative filtering algorithms; Content-based recommendation algorithms; Hybrid recommendation algorithms; Elective courses
Abstract

In the era of national ‘double first-class’ and ‘high-level’ university construction, the course selection has become an important part of the curriculum system of many colleges and universities in China. Due to the shortcomings of the traditional course selection method, the need for a machine learning-based course selection recommendation system has become more and more urgent. The focus of this paper is to apply a hybrid recommendation algorithm to a course selection system for university students to achieve intelligent recommendations through a correlation between students and students and between students and courses. The experimental results show that the hybrid recommendation algorithm is very good at recommending courses for students in the university course selection recommendation system, and the recommended courses have good accuracy and reasonableness.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_60
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_60How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Luxiao Zhu
AU  - Ben Wang
PY  - 2022
DA  - 2022/12/27
TI  - Course Selection Recommendation Based on Hybrid Recommendation Algorithms
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 476
EP  - 482
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_60
DO  - 10.2991/978-94-6463-044-2_60
ID  - Zhu2022
ER  -