The Use of Predictive Models in Intelligent Recommendation Systems
| Autor: | Akber Guliyev, Tokay Gasimzade, Mehmet Ali Salahli, Flora Alasgarova |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 05 social sciences academic performance prediction Recommender system Machine learning computer.software_genre Data science predictive model recommendation system General Earth and Planetary Sciences Artificial intelligence 0509 other social sciences 050904 information & library sciences business computer General Environmental Science |
| Zdroj: | Procedia Computer Science. 102:515-519 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.09.436 |
| Popis: | In this study we present an intelligent recommendation system for university students. Together with the conventional functional components the suggested system includes the predictive model, estimating student's academic performance. According to the output values of the model the recommendation system may provide more suitable learning strategies and learning materials to students. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|