Recommendation Systems On Redial
Métriques
Recall@1
Recall@10
Recall@50
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Recall@1 | Recall@10 | Recall@50 |
|---|---|---|---|
| knowledge-graphs-and-pre-trained-language | 0.056 | 0.217 | 0.426 |
| towards-knowledge-based-recommender-dialog | 0.03 | 0.163 | 0.338 |
| c2-crs-coarse-to-fine-contrastive-learning | 0.053 | 0.233 | 0.407 |
| bridging-the-gap-between-conversational | 0.04 | 0.187 | 0.376 |
| crfr-improving-conversational-recommender | 0.04 | 0.202 | 0.399 |
| user-centric-conversational-recommendation | - | 0.2161 | 0.4258 |
| improving-conversational-recommender-systems | 0.039 | 0.183 | 0.378 |
| towards-unified-conversational-recommender | 0.051 | 0.224 | 0.428 |