Sequential Recommendation on Foursquare (K=5, 10, 20) benchmark leaderboard · SOTA2 Research

Sequential Recommendation on Foursquare (K=5, 10, 20)

0.0323HR@20TV-Rec

Evaluation Results

Method	Links
TV-Rec2025.10		0.0323	0.0148	0.0212	0.0108	0.0129	0.0158
TV-Rec2025.10		0.0314	0.0175	0.0259	0.0134	0.0161	0.0176
TV-Rec2025.10		0.0314	—	—	—	—	0.0176
AdaMCT2025.10		0.0305	0.012	0.0157	0.0094	0.0106	0.0142
BSARec2025.10		0.0305	0.0129	0.0175	0.0089	0.0103	0.0135
SASRec2025.10		0.0295	0.0111	0.0175	0.0085	0.0106	0.0136
TV-Rec2025.10		0.0289	0.0151	0.0214	0.0105	0.0126	0.0145
DuoRec2025.10		0.0286	0.012	0.0194	0.0078	0.0102	0.0126
BSARec2025.10		0.0277	0.0148	0.0212	0.0111	0.013	0.0147
Caser2025.10		0.0268	0.0139	0.0175	0.0099	0.011	0.0133
SASRec2025.10		0.0268	0.0139	0.0185	0.0102	0.0117	0.0137
AdaMCT2025.10		0.0259	0.0157	0.0185	0.0105	0.0113	0.0131
NextItNet2025.10		0.0259	0.0083	0.0166	0.0068	0.0095	0.0118
BSARec2025.10		0.025	0.0133	0.0175	0.0098	0.0111	0.013
FMLPRec2025.10		0.024	0.012	0.0175	0.0076	0.0094	0.011
DuoRec2025.10		0.024	0.0139	0.0185	0.011	0.0124	0.0139
BERT4Rec2025.10		0.024	0.0102	0.0157	0.0078	0.0096	0.0117
GRU4Rec2025.10		0.0231	0.0148	0.0157	0.011	0.0113	0.0132
BERT4Rec2025.10		0.0231	0.0139	0.0157	0.0108	0.0113	0.0132
Caser2025.10		0.0231	0.0139	0.0194	0.0105	0.0123	0.0133
SR-GNN2025.10		0.0222	—	—	—	—	0.0137
LRURec2025.10		0.0212	0.0148	0.0166	0.011	0.0116	0.0127
GC-SAN2025.10		0.0212	—	—	—	—	0.0131
NextItNet2025.10		0.0203	0.0129	0.0175	0.0093	0.0108	0.0115
GRU4Rec2025.10		0.0194	0.012	0.0157	0.0099	0.0111	0.012
FMLPRec2025.10		0.0194	0.012	0.0148	0.0087	0.0096	0.0108
GCL4SR2025.10		0.0185	—	—	—	—	0.0123
LRURec2025.10		0.0185	0.0129	0.0139	0.0099	0.0102	0.0114