Session Based Recommendations On Diginetica
평가 지표
Hit@20
MRR@20
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Hit@20 | MRR@20 |
|---|---|---|
| sr-predictao-session-based-recommendation | 57.86 | 20.49 |
| niser-normalized-item-and-session | 53.39 | 18.72 |
| tagnn-target-attentive-graph-neural-networks | 51.31 | 18.03 |
| neural-attentive-session-based-recommendation | 49.70 | 16.17 |
| session-based-recommendation-with-graph | 50.73 | 17.59 |
| an-efficient-manifold-density-estimator-for | 37.52 | 17.24 |
| star-graph-neural-networks-for-session-based | 55.67 | 19.45 |
| pen4rec-preference-evolution-networks-for | 52.50 | 18.56 |
| improved-representation-learning-for-session | 51.86 | 17.93 |
| an-efficient-manifold-density-estimator-for | 38.49 | 17.31 |
| dgtn-dual-channel-graph-transition-network | 53.05 | 18.07 |
| star-a-session-based-time-aware-recommender | 53.98 | 18.66 |
| session-based-recommendations-with-recurrent | 29.45 | 8 |