Sequential Recommendation On Movielens 1M
Métriques
HR@10
HR@10 (99 Neg. Samples)
HR@20
HR@5
HR@5 (99 Neg. Samples)
MRR (99 Neg. Samples)
NDCG@10
NDCG@10 (99 Neg. Samples)
NDCG@20
NDCG@5
NDCG@5 (99 Neg. Samples)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | HR@10 | HR@10 (99 Neg. Samples) | HR@20 | HR@5 | HR@5 (99 Neg. Samples) | MRR (99 Neg. Samples) | NDCG@10 | NDCG@10 (99 Neg. Samples) | NDCG@20 | NDCG@5 | NDCG@5 (99 Neg. Samples) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 180809781 | 0.2137 | 0.7904 | 0.3245 | 0.1374 | 0.6874 | 0.5020 | 0.1116 | 0.5642 | 0.1395 | 0.0873 | 0.5308 |
| an-attentive-inductive-bias-for-sequential | 0.2757 | 0.7978 | 0.3884 | 0.1944 | 0.7023 | 0.5406 | 0.1568 | 0.5955 | 0.1851 | 0.1306 | 0.5646 |
| tim4rec-an-efficient-sequential | 0.331 | - | 0.4338 | 0.2308 | - | - | 0.1932 | - | 0.2194 | 0.1608 | - |
| ss4rec-continuous-time-sequential | 0.3561 | - | - | - | - | - | 0.2127 | - | - | - | - |