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Recommendation on Amazon Beauty (test)

23.51HR@5ReasonRec
2.04447.617213.1918.7628Feb 21, 2026Mar 10, 2026Mar 28, 2026Apr 15, 2026May 3, 2026May 21, 2026Jun 8, 2026

Evaluation results

MethodLinks
ReasonRecTask=Direct Recommendation2026.0623.51————16.55——
UniMPTask=Direct Recommendation2026.0618.25————12.2——
VIP5Task=Direct Recommendation2026.0617.39————11.13——
P5Task=Direct Recommendation2026.0616.81————11.23——
Majority VoteTask=Direct Recommendation2026.0616.12————10.43——
Light-GCNTask=Direct Recommendation2026.0615.01————9.04——
BPR-MFTask=Direct Recommendation2026.0614.26————9.13——
BPR-MLPTask=Direct Recommendation2026.0613.81————8.91——
DeepInterestGRBackbone=Qwen2.5-7B-Instruct, Beam size=202026.026.7810.324.365.58————
MiniOneRecMethod Category=Generative Recommendation Models, Backbone=Qwen2.5-7B-Instruct, Beam size=202026.026.129.453.895.02————
S-DPOMethod Category=LLM-based Models2026.025.899.183.724.83————
HSTUMethod Category=Generative Recommendation Models, Beam size=202026.025.568.673.514.56————
BIGRecMethod Category=LLM-based Models2026.025.348.393.364.39————
LC-RecMethod Category=Generative Recommendation Models, Beam size=202026.025.238.213.284.28————
D3Method Category=LLM-based Models2026.024.987.853.124.09————
TIGERMethod Category=Generative Recommendation Models, Beam size=202026.024.877.633.023.95————
S3-RecMethod Category=Transformer-based Models2026.024.457.182.713.61————
FDSAMethod Category=Transformer-based Models2026.024.326.982.633.51————
BERT4RecMethod Category=Transformer-based Models2026.024.216.822.563.42————
SASRecMethod Category=Transformer-based Models2026.023.986.452.413.23————
HGNMethod Category=Traditional Sequential Models2026.023.355.492.012.71————
GRU4RecMethod Category=Traditional Sequential Models2026.023.125.181.892.56————
CaserMethod Category=Traditional Sequential Models2026.022.874.831.712.34————
CobraModel Type=Semantic ID-based Generative Recommendation2026.04————5.273.349.096.25
HeterRecModel Type=Item ID-based Discriminative Recommendation2026.04————5.213.328.946.16
LWGRBackbone=Qwen3-4B2026.04————5.953.7610.267.01
PinnerFormerModel Type=Item ID-based Discriminative Recommendation2026.04————5.293.359.026.19
SASRecModel Type=Item ID-based Discriminative Recommendation2026.04————5.123.268.615.89
TIGERModel Type=Semantic ID-based Generative Recommendation2026.04————5.343.419.126.3
TIGER + KARModel Type=Semantic ID-based Generative Recommendation2026.04————5.433.479.276.34
TIGER + SeRALMModel Type=Semantic ID-based Generative Recommendation2026.04————5.393.449.316.42
VQ-RecModel Type=Item ID-based Discriminative Recommendation2026.04————5.133.228.836.08