Research Article
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines
Table 3
MAE and RMSE comparison of multiple recommendation approaches.
| | Method | Matrix density = 10% | Matrix density = 20% | Matrix density = 30% | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| Given 10 | SPCC | 0.4258 | 0.5643 | 0.4005 | 0.5257 | 0.3932 | 0.5036 | MPCC | 0.4316 | 0.5701 | 0.4108 | 0.5293 | 0.4035 | 0.5113 | PMF | 0.2417 | 0.3835 | 0.2263 | 0.3774 | 0.2014 | 0.3718 | LDA-FMs | 0.2091 | 0.3225 | 0.1969 | 0.3116 | 0.1832 | 0.3015 | HDP-FMs | 0.1547 | 0.2874 | 0.1329 | 0.2669 | 0.1283 | 0.2498 | EHDP-FMs | 0.1308 | 0.2507 | 0.1154 | 0.2372 | 0.1081 | 0.2093 |
| Given 20 | SPCC | 0.4135 | 0.5541 | 0.3918 | 0.5158 | 0.3890 | 0.5003 | MPCC | 0.4413 | 0.5712 | 0.4221 | 0.5202 | 0.4151 | 0.5109 | PMF | 0.2398 | 0.3559 | 0.2137 | 0.3427 | 0.1992 | 0.3348 | LDA-FMs | 0.1989 | 0.3104 | 0.1907 | 0.3018 | 0.1801 | 0.2894 | HDP-FMs | 0.1486 | 0.2713 | 0.1297 | 0.2513 | 0.1185 | 0.2291 | EHDP-FMs | 0.1227 | 0.2419 | 0.1055 | 0.2216 | 0.0952 | 0.1904 |
| Given 30 | SPCC | 0.4016 | 0.5447 | 0.3907 | 0.5107 | 0.3739 | 0.5012 | MPCC | 0.4518 | 0.5771 | 0.4317 | 0.5159 | 0.4239 | 0.5226 | PMF | 0.2214 | 0.3319 | 0.2091 | 0.3117 | 0.1986 | 0.3052 | LDA-FMs | 0.1970 | 0.3096 | 0.1865 | 0.2993 | 0.1794 | 0.2758 | HDP-FMs | 0.1377 | 0.2556 | 0.1109 | 0.2461 | 0.1047 | 0.2057 | EHDP-FMs | 0.1113 | 0.2248 | 0.0926 | 0.2057 | 0.0804 | 0.1673 |
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