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Recommendation on Amazon Sports (test)

8.25Recall@10SSR
1.50043.25275.0056.7573Dec 18, 2024Feb 27, 2025May 10, 2025Jul 21, 2025Sep 30, 2025Dec 11, 2025Feb 21, 2026

Evaluation results

MethodLinks
SSR2025.128.2512.034.495.47——
SMORE2025.127.6211.424.085.06——
AlignRec2025.127.5811.64.145.17——
MIG-GTMultimodal=true, GNN=true2024.127.5311.34.145.11——
MMIL2025.127.4711.334.055.05——
FREEDOMMultimodal=true, GNN=true2024.127.1710.893.854.81——
FREEDOM2025.127.0510.773.824.78——
DeepInterestGRBackbone=Qwen2.5-7B-Instruct, Beam size=202026.027.03—3.76—4.522.89
DiffMM2025.126.8710.353.574.58——
SLMRecMultimodal=true, GNN=true2024.126.639.93.654.5——
BM32025.126.599.873.574.43——
LATTICE2025.126.289.613.394.31——
MiniOneRecMethod Category=Generative Recommendation Models, Backbone=Qwen2.5-7B-Instruct, Beam size=202026.026.27—3.3—3.982.51
LATTICEMultimodal=true, GNN=true2024.126.29.533.354.21——
MGDNMultimodal=false, GNN=true2024.126.149.323.44.22——
S-DPOMethod Category=LLM-based Models2026.026.09—3.19—3.852.42
ApeGNNMultimodal=false, GNN=true2024.126.088.923.334.07——
GRCN2025.126.079.283.354.21——
RecVAE2025.126.039.163.484.31——
GRCNMultimodal=true, GNN=true2024.125.999.193.34.13——
DualGNNMultimodal=true, GNN=true2024.125.888.993.244.04——
HSTUMethod Category=Generative Recommendation Models, Beam size=202026.025.81—3.02—3.672.29
DualGNN2025.125.748.813.163.93——
LightGCNMultimodal=false, GNN=true2024.125.698.643.113.87——
LightGCN2025.125.698.643.113.87——
VBPR2025.125.618.573.053.86——
VBPRMultimodal=true, GNN=false2024.125.588.563.073.84——
BIGRecMethod Category=LLM-based Models2026.025.56—2.89—3.492.18
LC-RecMethod Category=Generative Recommendation Models, Beam size=202026.025.43—2.81—3.412.12
D3Method Category=LLM-based Models2026.025.19—2.69—3.252.02
MuSICRec2026.025.088.052.673.41——
TIGERMethod Category=Generative Recommendation Models, Beam size=202026.024.98—2.56—3.121.92
SMORE2026.024.87.462.543.21——
FREEDOM2026.024.797.522.463.15——
MGCN2026.024.767.52.513.2——
S3-RecMethod Category=Transformer-based Models2026.024.57—2.3—2.831.71
LGMRec2026.024.557.152.383.03——
FDSAMethod Category=Transformer-based Models2026.024.43—2.23—2.741.65
BM32026.024.356.982.242.9——
MFMultimodal=false, GNN=false2024.124.326.532.412.98——
BPR2025.124.326.532.412.98——
BERT4RecMethod Category=Transformer-based Models2026.024.32—2.17—2.671.61
SGL2026.024.256.882.272.93——
VBPR2026.024.066.382.042.63——
LightGCN2026.024.026.312.132.7——
MMGCNMultimodal=true, GNN=true2024.124.016.362.092.7——
SASRecMethod Category=Transformer-based Models2026.024.01—2.01—2.481.49
MMGCN2025.123.946.252.032.66——
GRCN2026.023.716.061.892.49——
HGNMethod Category=Traditional Sequential Models2026.023.48—1.72—2.121.26
GRU4RecMethod Category=Traditional Sequential Models2026.023.24—1.61—1.981.18
CaserMethod Category=Traditional Sequential Models2026.022.91—1.42—1.751.03
FEARec2026.022.814.561.431.87——
MMGCN2026.022.754.471.83———
SASRec2026.022.744.211.41.77——
SRGNN2026.021.963.141.021.32——
BERT4Rec2026.021.762.730.941.18——
BPR-MFTask=Direct Recommendation2026.06————14.788.97
BPR-MLPTask=Direct Recommendation2026.06————15.929.45
Light-GCNTask=Direct Recommendation2026.06————15.499.11
Majority VoteTask=Direct Recommendation2026.06————16.149.93
P5Task=Direct Recommendation2026.06————15.8311.32
ReasonRecTask=Direct Recommendation2026.06————24.3917.32
UniMPTask=Direct Recommendation2026.06————19.413.72
VIP5Task=Direct Recommendation2026.06————17.9112.41