Research Article
A Hybrid Recommender System for Gaussian Mixture Model and Enhanced Social Matrix Factorization Technology Based on Multiple Interests
Table 4
MAE and P@N results on Epinions and Tencent datasets.
| Datasets | Measures | PMF | RTCF | SocialMF | TCARS | CSIT | IMF | ISRec | GMMESMF |
| Epinions | MAE | 0.735 | 0.672 | 0.683 | 0.648 | 0.668 | 0.705 | 0.636 | 0.591 | | P@10 | 0.365 | 0.425 | 0.423 | 0.438 | 0.435 | 0.401 | 0.441 | 0.452 | | R@10 | 0.218 | 0.246 | 0.244 | 0.252 | 0.248 | 0.223 | 0.258 | 0.265 | | P@20 | 0.372 | 0.437 | 0.426 | 0.445 | 0.439 | 0.389 | 0.449 | 0.478 | | R@20 | 0.223 | 0.254 | 0.252 | 0.257 | 0.259 | 0.236 | 0.263 | 0.279 |
| Tencent | MAE | 0.615 | 0.592 | 0.596 | 0.581 | 0.587 | 0.608 | 0.572 | 0.553 | | P@10 | 0.388 | 0.451 | 0.448 | 0.472 | 0.455 | 0.396 | 0.476 | 0.487 | | R@10 | 0.236 | 0.249 | 0.246 | 0.253 | 0.248 | 0.238 | 0.258 | 0.268 | | P@20 | 0.391 | 0.470 | 0.465 | 0.478 | 0.472 | 0.412 | 0.481 | 0.496 | | R@20 | 0.241 | 0.253 | 0.251 | 0.259 | 0.255 | 0.239 | 0.262 | 0.275 |
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