This paper is published in Volume-10, Issue-3, 2024
Area
Computer Science
Author
Daniyal Ganiuly
Org/Univ
Astana IT University, Kazakhstan, Kazakhstan
Keywords
Semantic Analysis, Fuzzy Logic, Recommendation System, SVM
Citations
IEEE
Daniyal Ganiuly. Applying Semantic Analysis and Machine Learning to Develop Recommendation System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Daniyal Ganiuly (2024). Applying Semantic Analysis and Machine Learning to Develop Recommendation System. International Journal of Advance Research, Ideas and Innovations in Technology, 10(3) www.IJARIIT.com.
MLA
Daniyal Ganiuly. "Applying Semantic Analysis and Machine Learning to Develop Recommendation System." International Journal of Advance Research, Ideas and Innovations in Technology 10.3 (2024). www.IJARIIT.com.
Daniyal Ganiuly. Applying Semantic Analysis and Machine Learning to Develop Recommendation System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Daniyal Ganiuly (2024). Applying Semantic Analysis and Machine Learning to Develop Recommendation System. International Journal of Advance Research, Ideas and Innovations in Technology, 10(3) www.IJARIIT.com.
MLA
Daniyal Ganiuly. "Applying Semantic Analysis and Machine Learning to Develop Recommendation System." International Journal of Advance Research, Ideas and Innovations in Technology 10.3 (2024). www.IJARIIT.com.
Abstract
Completing elective courses at university has an important role on the career path of the future specialists. Making decision to study courses that cover certain skills and technologies directly influences on receiving job offer after graduation. Despite high level of importance of this topic, there is an issue when students make wrong decisions about elective courses that impact negatively on their academic performance. This research observes a solution to the actual problem by creating software to analyze data and give recommendations about appropriate elective courses for university students.