Exploring collaborative filtering through K-Nearest Neighbors and Non-Negative Matrix Factorization
Collaborative filtering (CF) algorithms have received a lot of interest in recommender systems due to their ability to give personalized recommendations by exploiting user-item interaction data. In this article, we explore two popular CF methods—K-Nearest Neighbors (KNN) Regression and Non-Negative...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Siberian Scientific Centre DNIT
2024-04-01
|
| Series: | Современные инновации, системы и технологии |
| Subjects: | |
| Online Access: | https://oajmist.com/index.php/12/article/view/268 |