HyperAI

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

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)
Paper TitleRepository
SASRec0.21370.79040.32450.13740.68740.50200.11160.56420.13950.08730.5308Self-Attentive Sequential Recommendation
BSARec0.27570.79780.38840.19440.70230.54060.15680.59550.18510.13060.5646An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
TiM4Rec0.331-0.43380.2308--0.1932-0.21940.1608-TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model
SS4Rec0.3561-----0.2127----SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
0 of 4 row(s) selected.