DESIGNING A RECOMMENDATION SYSTEM FOR SPECIALIZED COURSES FOR THE UNIVERSITY
| dc.contributor.author | D. Anefiyayeva | |
| dc.contributor.author | A. Talasbek | |
| dc.date.accessioned | 2024-01-23T08:29:24Z | |
| dc.date.available | 2024-01-23T08:29:24Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Abstract All universities have compulsory courses in, some of which students have to choose for themselves. This choice will affect the student's further career as they choose not only the subject they are studying, but what they will do soon. I know how difficult it is to choose a topic for myself. The recommendation engine is one of the most popular artificial intelligence applications. Since switching to the Internet, recommender systems have become widely used in everyday life without even being noticed. Many machine learning algorithms can used to implement recommender systems, but this task attracts many researchers from around the world. First, let's consider how to classify k-means. | |
| dc.identifier.citation | D. Anefiyayeva , A. Talasbek / DESIGNING A RECOMMENDATION SYSTEM FOR SPECIALIZED COURSES FOR THE UNIVERSITY / 2022 International Young Scholars' Conference | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1145 | |
| dc.language.iso | en | |
| dc.publisher | 2022 International Young Scholars' Conference | |
| dc.subject | Recommendation system | |
| dc.subject | ml | |
| dc.subject | k-means | |
| dc.subject | subjects | |
| dc.subject | academies | |
| dc.subject | 2022 International Young Scholars' Conference | |
| dc.subject | №11 | |
| dc.title | DESIGNING A RECOMMENDATION SYSTEM FOR SPECIALIZED COURSES FOR THE UNIVERSITY | |
| dc.type | Other |