Research Article
Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach
Table 4
AP and MAP comparisons between various methods.
| Method | AP | MAP | Law | Basketball | Economy | Health |
| TwitterRank | 0.1160 | 0.1303 | 0.0818 | 0.0633 | 0.0979 | TwitterRank_C | 0.5139 | 0.2013 | 0.1591 | 0.1267 | 0.2503 | OOLAM | 0.6602 | 0.6570 | 0.5211 | 0.5730 | 0.6028 | OOLAM_C | 0.6607 | 0.6609 | 0.5257 | 0.5572 | 0.6011 | OOLAM_SM | 0.6578 | 0.6027 | 0.5443 | 0.4960 | 0.5752 | OOLAM_SM_C | 0.6328 | 0.6418 | 0.4921 | 0.5490 | 0.5790 | HF_CP_ALS | 0.5577 | 0.5537 | 0.4254 | 0.3695 | 0.4766 | HF_CP_ALS_C | 0.4916 | 0.5271 | 0.3496 | 0.3838 | 0.4380 | CPSGD | 0.6668 | 0.5640 | 0.5828 | 0.5781 | 0.5979 | Our method | 0.7159 | 0.6212 | 0.5989 | 0.6110 | 0.6368 |
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