Recommendation Systems
Collaborative Preference Embedding
Introduced by Bao et al. in Collaborative Preference Embedding against Sparse LabelsCPE is an effective collaborative metric learning to effectively address the problem of sparse and insufficient preference supervision from the margin distribution point-of-view.
Source: Collaborative Preference Embedding against Sparse LabelsPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Recommendation Systems | 3 | 11.54% |
| Classification | 2 | 7.69% |
| Decision Making | 2 | 7.69% |
| Collaborative Filtering | 2 | 7.69% |
| Metric Learning | 2 | 7.69% |
| Human Mesh Recovery | 1 | 3.85% |
| Pose Estimation | 1 | 3.85% |
| Edge-computing | 1 | 3.85% |
| Federated Learning | 1 | 3.85% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
