Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering
Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated. We investigate a collaborative filtering technique that robustly predi...
Збережено в:
| Автори: | , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2023-01-01
|
| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10210553/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|