SVD and CUR algorithms implemented using Python
| Algorithm | RMSE | Top K Precision (K = 5) | Spearman Correlation Coefficient | Time |
|---|---|---|---|---|
| SVD | 2.052e-15 | 81.0638 | 0.956 | ~2s |
| SVD with 90% variance | 0.523 | 75.638% | 0.866 | ~2s |
| CUR | 2.292e-14 | 84.361% | 0.954 | ~1s |
| CUR with 90% variance | 0.901 | 71.170% | 0.744 | ~1s |