Feature Reweighting-Based Factorization Machine for Effective Learning Latent Representation
Factorization machines (FMs) are widely employed as supervised predictors in collaborative recommendation. FMs can efficiently model second-order feature interactions through inner products, which is beneficial for mitigating the negative effects of data sparsity. However, existing research has larg...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10978851/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|