ONLINE COURSE RECOMMENDATION SYSTEMS

dc.contributor.authorBaltabekov Y.S.
dc.contributor.authorMoldagaliev B.K.
dc.date.accessioned2023-12-14T08:30:36Z
dc.date.available2023-12-14T08:30:36Z
dc.date.issued2021
dc.description.abstractAbstract. 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.
dc.identifier.citationY.S. Baltabekov , B.K. Moldagaliev / ONLINE COURSE RECOMMENDATION SYSTEMS / СДУ хабаршысы - 2021
dc.identifier.issn2709-2631
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/989
dc.language.isoen
dc.publisherСДУ хабаршысы - 2021
dc.subjectrecommendation systems
dc.subjectcontent based
dc.subjectcollaborative filtering
dc.subjectСДУ хабаршысы - 2021
dc.subject№2
dc.titleONLINE COURSE RECOMMENDATION SYSTEMS
dc.typeArticle

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