List your company

Sequential Recommendation on Amazon Books (test)

0.0463NDCG@10MDGR
0.005220.0158850.026550.037215Feb 27, 2024Jul 19, 2024Dec 9, 2024May 1, 2025Sep 21, 2025Feb 11, 2026Jul 5, 2026

Evaluation results

MethodLinks
MDGRRecommendation Paradigm=Masked Diffusion Generative Recommendation, Evaluation Protocol=leave-one-out2026.010.0463——————0.06310.03610.0826——
RPGRecommendation Paradigm=Semantic ID-based Generative Recommendation, Evaluation Protocol=leave-one-out2026.010.0427——————0.05810.03320.0762——
CobraRecommendation Paradigm=Semantic ID-based Generative Recommendation, Evaluation Protocol=leave-one-out2026.010.0426——————0.05760.0330.0763——
TIGERRecommendation Paradigm=Semantic ID-based Generative Recommendation, Evaluation Protocol=leave-one-out2026.010.0408——————0.05520.03150.0731——
DiffuRecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0403——————0.05310.03110.0722——
PinnerFormerRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0401——————0.05250.03070.0716——
HeterRecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0398——————0.05220.03060.0712——
S3RecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0396——————0.05140.03020.0704——
BERT4RecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0394——————0.05090.02990.0699——
SASRecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0391——————0.05060.02970.0697——
VQ-RecRecommendation Paradigm=Item ID-based Discriminative Recommendation, Evaluation Protocol=leave-one-out2026.010.0384——————0.05170.03010.0687——
HSTU-largeModel variant=large, Setting=multi-pass, full-shuffle2024.020.02570.04690.10660.18760.0508———————
HSTUModel variant=base, Setting=multi-pass, full-shuffle2024.020.02190.04040.09430.1710.045———————
SASRec (2023)Model Version=2023, Setting=multi-pass, full-shuffle2024.020.01560.02920.07290.140.035———————
LBRBackbone=BIGRec2026.070.0112——————0.01670.00980.0213——
LBRBackbone=LLaRA2026.070.0111——————0.01570.00930.0212——
S-DPOBackbone=BIGRec2026.070.0102——————0.01250.00820.0189——
CFTBackbone=LLaRA2026.070.0102——————0.01440.00770.021——
LLM-CF2026.070.01——————0.01410.00770.0212——
IGDBackbone=LLaRA2026.070.0097——————0.01140.00680.0203——
DROS2026.070.0096——————0.01160.00720.0192——
LLaRA2026.070.0096——————0.01280.00730.0201——
DLLM2Rec2026.070.0094——————0.01120.00680.0194——
D3Backbone=LLaRA2026.070.0094——————0.01120.00660.0194——
CFTBackbone=BIGRec2026.070.0092——————0.01030.0060.0205——
BIGRec2026.070.009——————0.01160.00620.0201——
IGDBackbone=BIGRec2026.070.0084——————0.0110.00640.0171——
ReweightBackbone=LLaRA2026.070.0083——————0.01210.00660.0173——
D3Backbone=BIGRec2026.070.0081——————0.0110.00580.018——
SASRec2026.070.008——————0.010.00610.0157——
ReweightBackbone=BIGRec2026.070.007——————0.010.00510.016——
S-DPOBackbone=LLaRA2026.070.0068——————0.00980.0050.0153——
ATLASArchitecture Category=Linear Attention2026.02———0.1190.0223—————0.8884—
CaserModel Type=Trad., Backbone=-2025.06—————0.1538—————100
DPOModel Type=LLM, Backbone=LLaMA3-8B2025.06—————0.5049—————98.87
DPOModel Type=LLM, Backbone=Qwen-7B2025.06—————0.4412—————99.3
GDeltanetArchitecture Category=Linear Attention2026.02———0.12140.023—————0.8844—
GLAArchitecture Category=Linear Attention2026.02———0.08790.0158—————0.8752—
GRU4RecModel Type=Trad., Backbone=-2025.06—————0.131—————100
GSAArchitecture Category=Linear Attention2026.02———0.12260.0233—————0.887—
HSTUBackbone=HSTU2024.07—0.04690.10660.1876—0.01010.0233—————
HSTUArchitecture Category=Transformer2026.02———0.12240.0233—————0.8835—
HSTU + MoLBackbone=HSTU, Similarity=MoL2024.07—0.06310.13080.2173—0.01560.0324—————
HSTU + MoL abl. LMIBackbone=HSTU, Similarity=MoL, Ablation=Without L_MI loss2024.07—0.06250.12860.2172—0.01530.0321—————
LLaMA3Model Type=LLM, Backbone=LLaMA3-8B2025.06—————0.0654—————61.65
MAMBA2Architecture Category=Linear Attention2026.02———0.12340.0234—————0.8872—
MoMArchitecture Category=Linear Attention2026.02———0.08540.0158—————0.8705—
PRISMArchitecture Category=Linear Attention2026.02———0.12580.0238—————0.8888—
QwenModel Type=LLM, Backbone=Qwen-7B2025.06—————0.1013—————71.94
RecPOModel Type=LLM, Backbone=LLaMA3-8B2025.06—————0.5802—————98.51
RecPOModel Type=LLM, Backbone=Qwen-7B2025.06—————0.5307—————98.8
S-DPOModel Type=LLM, Backbone=LLaMA3-8B2025.06—————0.5065—————98.8
S-DPOModel Type=LLM, Backbone=Qwen-7B2025.06—————0.4623—————99.1
SASRecBackbone=SASRec2024.07—0.03060.07540.1431—0.00580.0153—————
SASRecArchitecture Category=Transformer2026.02———0.11380.0215—————0.891—
SASRecModel Type=Trad., Backbone=-2025.06—————0.1559—————100
SASRec + MoLBackbone=SASRec, Similarity=MoL2024.07—0.04290.09150.1635—0.00950.0212—————
SFTModel Type=LLM, Backbone=LLaMA3-8B2025.06—————0.4447—————99.74
SFTModel Type=LLM, Backbone=Qwen-7B2025.06—————0.3659—————99.67
SimPOModel Type=LLM, Backbone=LLaMA3-8B2025.06—————0.5129—————95.64
SimPOModel Type=LLM, Backbone=Qwen-7B2025.06—————0.4644—————98.8
SLAArchitecture Category=Linear Attention2026.02———0.11290.0212—————0.8866—
TITANSArchitecture Category=Linear Attention2026.02———0.12720.0243—————0.8869—
TTTArchitecture Category=Linear Attention2026.02———0.12550.0234—————0.8871—