Research Article
Leveraging Multiactions to Improve Medical Personalized Ranking for Collaborative Filtering
Table 4
Recommendation performance of different methods on the dataset from Sobazaar.
| | Pre@5 | Recall@5 | AUC | MAP | NDCG | MRR |
| Random | 0.0003 | 0.0011 | 0.5035 | 0.0019 | 0.1010 | 0.0023 | | | | | | | | BPR-MF | 0.0087 | 0.0308 | 0.7203 | 0.0226 | 0.1411 | 0.0292 | MBPR-1 | 0.0101 | 0.0359 | 0.7464 | 0.0263 | 0.1480 | 0.0344 | MBPR-2 | 0.0098 | 0.0351 | 0.7461 | 0.0266 | 0.1483 | 0.0347 | Improve | 16.09% | 16.56% | 3.62% | 17.70% | 5.10% | 18.83% | | | | | | | | BPR-MF | 0.0086 | 0.0309 | 0.7290 | 0.0236 | 0.1426 | 0.0308 | MBPR-1 | 0.0098 | 0.0347 | 0.7462 | 0.0263 | 0.1480 | 0.0344 | MBPR-2 | 0.0099 | 0.0354 | 0.7464 | 0.0263 | 0.1481 | 0.0345 | Improve | 15.11% | 14.56% | 2.38% | 11.44% | 3.85% | 12.01% |
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