ONLINE COURSE RECOMMENDATION SYSTEMS

Today in our world exists many online courses, so today it is hard to students to choose the courses they like. This paper work is about recommendation system based on user`s interests in his profile, this technique called Content Based, and on similarity with other users, this technique called Collaborative filtering, and hybrid method. My aim is to make such system, which will recommend courses that will be interesting to users. By using these techniques it can be improved efficiency of the recommendation system and make the life of the users more easier. Because in the process of study, the user will not be difficult to receive information and he will not be border.

Authors

Publication Details

Journal
Suleyman Demirel University Bulletin Natural and Technical Sciences
Published
2024-10-16
DOI
https://doi.org/10.47344/sdubnts.v55i2.544
Primary Topic
Online Learning and Analytics
Type
article
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article

ONLINE COURSE RECOMMENDATION SYSTEMS

Y.S. Baltabekov, B.K. Moldagaliev
Suleyman Demirel University Bulletin Natural and Technical Sciences
Online Learning and Analytics
article

ONLINE COURSE RECOMMENDATION SYSTEMS

Y.S. Baltabekov, B.K. Moldagaliev
article en

Abstract

Today in our world exists many online courses, so today it is hard to students to choose the courses they like. This paper work is about recommendation system based on user`s interests in his profile, this technique called Content Based, and on similarity with other users, this technique called Collaborative filtering, and hybrid method. My aim is to make such system, which will recommend courses that will be interesting to users. By using these techniques it can be improved efficiency of the recommendation system and make the life of the users more easier. Because in the process of study, the user will not be difficult to receive information and he will not be border.

Suleyman Demirel University Bulletin Natural and Technical SciencesVol. 55(2)
Openalex Percentile: Top 71%
Online Learning and Analytics
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ONLINE COURSE RECOMMENDATION SYSTEMS — Y.S. Baltabekov, B.K. Moldagaliev · Suleyman Demirel University Bulletin Natural and Technical Sciences (2024) | TGRS Research Map | TGRS