From: Neighborhood-aware web service quality prediction using deep learning
Attributes | Methods | Matrix density = 5% | Matrix density = 10% | Matrix density = 15% | Matrix density = 20% | ||||
---|---|---|---|---|---|---|---|---|---|
 |  | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
RT | UPCC | 0.9553 | 2.1269 | 0.7823 | 1.8569 | 0.6716 | 1.7264 | 0.5972 | 1.7177 |
 | IPCC | 1.1026 | 2.2583 | 0.8780 | 1.9893 | 0.7840 | 1.8628 | 0.7223 | 1.7948 |
 | UIPCC | 0.8471 | 1.9208 | 0.7290 | 1.7308 | 0.6128 | 1.5906 | 0.5520 | 1.5878 |
 | CMF | 0.6116 | 1.4142 | 0.5169 | 1.3562 | 0.4917 | 1.2163 | 0.4591 | 1.1988 |
 | NMF | 0.6182 | 1.5746 | 0.6040 | 1.5494 | 0.5990 | 1.5345 | 0.5982 | 1.5331 |
 | PMF | 0.5678 | 1.4735 | 0.4996 | 1.2866 | 0.4720 | 1.2163 | 0.4492 | 1.1828 |
 | NIMF | 0.5514 | 1.4075 | 0.4854 | 1.2745 | 0.4534 | 1.1980 | 0.4357 | 1.1678 |
 | NAMF | 0.5384 | 1.3853 | 0.4850 | 1.2592 | 0.4529 | 1.2071 | 0.4350 | 1.1443 |
 | NDL | 0.4037 | 1.3596 | 0.3904 | 1.1686 | 0.3877 | 1.0924 | 0.3783 | 1.0793 |
TP | UPCC | 56.4816 | 95.4345 | 47.3569 | 78.1629 | 41.6976 | 70.9251 | 37.2768 | 67.9981 |
 | IPCC | 46.5634 | 79.6976 | 42.5893 | 73.5783 | 36.5033 | 68.4784 | 34.3576 | 65.4433 |
 | UIPCC | 40.0451 | 74.5033 | 36.4308 | 64.9208 | 33.8068 | 59.5171 | 29.2445 | 56.5301 |
 | CMF | 30.8275 | 69.2836 | 26.4586 | 59.3657 | 21.7944 | 52.9409 | 17.8588 | 47.1635 |
 | NMF | 25.7529 | 65.8517 | 17.8411 | 53.9896 | 15.8939 | 51.7322 | 15.2516 | 48.6330 |
 | PMF | 19.9034 | 54.0508 | 16.1755 | 46.4439 | 15.0956 | 43.7957 | 14.6694 | 42.4855 |
 | NIMF | 17.9297 | 52.6573 | 16.0542 | 46.9409 | 14.4346 | 43.1596 | 13.7099 | 41.1689 |
 | NAMF | 18.0837 | 52.8658 | 15.9808 | 46.9788 | 14.6661 | 43.0206 | 13.9386 | 40.7481 |
 | NDL | 16.2700 | 52.5069 | 14.9585 | 46.4381 | 14.0924 | 42.7671 | 13.1675 | 40.5656 |