Recommendation System to Propose Final Project Supervisors using Cosine Similarity Matrix

• 主要な著者: Falah, Zulfa Fajrul, Suryawan, Fajar
• フォーマット: UMS Journal (OJS)
• 言語: eng
• 出版事項: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022
• 主題: cosine similarity; recommendation system; web scraping; content-based filtering
• オンライン･アクセス: https://journals.ums.ac.id/index.php/khif/article/view/16235

The selection of a supervisor is an important thing and one of the determinants of whether or not a student's final project research is successful. At the location of this research, students select a supervisor by considering his academic records, and recommendations from classmates or seniors....