Research Article
Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach
Table 3
Ranking precision for various methods in four topics.
| Method | Law | Method | Basketball | | | | | | |
| TwitterRank | 0.20 | 0.10 | 0.10 | TwitterRank | 0.00 | 0.00 | 0.00 | TwitterRank_C | 0.40 | 0.30 | 0.40 | TwitterRank_C | 0.00 | 0.00 | 0.15 | OOLAM | 0.40 | 0.40 | 0.60 | OOLAM | 0.40 | 0.40 | 0.30 | OOLAM_C | 0.20 | 0.50 | 0.65 | OOLAM_C | 0.40 | 0.50 | 0.55 | OOLAM_SM | 0.40 | 0.50 | 0.60 | OOLAM_SM | 0.40 | 0.50 | 0.40 | OOLAM_SM_C | 0.20 | 0.50 | 0.65 | OOLAM_SM_C | 0.40 | 0.50 | 0.55 | HF_CP_ALS | 0.40 | 0.40 | 0.65 | HF_CP_ALS | 0.40 | 0.30 | 0.50 | HF_CP_ALS_C | 0.00 | 0.30 | 0.50 | HF_CP_ALS_C | 0.60 | 0.30 | 0.60 | CPSGD | 0.40 | 0.50 | 0.55 | CPSGD | 0.40 | 0.40 | 0.60 | Our method | 0.40 | 0.50 | 0.60 | Our method | 0.60 | 0.50 | 0.70 |
| Method | Economy | Method | Health | | | | | | |
| TwitterRank | 0.00 | 0.00 | 0.05 | TwitterRank | 0.00 | 0.00 | 0.00 | TwitterRank_C | 0.00 | 0.10 | 0.20 | TwitterRank_C | 0.00 | 0.00 | 0.05 | OOLAM | 0.20 | 0.30 | 0.40 | OOLAM | 0.40 | 0.40 | 0.40 | OOLAM_C | 0.20 | 0.30 | 0.40 | OOLAM_C | 0.40 | 0.40 | 0.55 | OOLAM_SM | 0.20 | 0.40 | 0.50 | OOLAM_SM | 0.40 | 0.40 | 0.40 | OOLAM_SM_C | 0.20 | 0.40 | 0.50 | OOLAM_SM_C | 0.40 | 0.30 | 0.55 | HF_CP_ALS | 0.20 | 0.30 | 0.30 | HF_CP_ALS | 0.00 | 0.20 | 0.40 | HF_CP_ALS_C | 0.20 | 0.30 | 0.30 | HF_CP_ALS_C | 0.00 | 0.20 | 0.40 | CPSGD | 0.40 | 0.60 | 0.50 | CPSGD | 0.40 | 0.40 | 0.45 | Our method | 0.40 | 0.60 | 0.50 | Our method | 0.40 | 0.40 | 0.65 |
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