CTR Prediction on Criteo (test)
0.8158AUCGDCN-S
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GDCN-SModel Class=Ours2023.11 | 0.8158 | 0.4364 | — | — | — | — | |
| GCNModel Class=Ours2023.11 | 0.8154 | 0.4367 | — | — | — | — | |
| RankElastorembedding dimension=20, batch size=4096, (T, D)=(15, 26), expansion ratio r=32026.05 | 0.8148 | 0.4373 | — | — | — | — | |
| CETNYear=ours, #Params=140.1M2023.12 | 0.8148 | 0.4373 | — | — | — | — | |
| FinalMLPType=Base Models2023.08 | 0.8148 | 0.437 | — | — | — | -0.06 | |
| FinalMLPYear=2023, #Params=116.2M2023.12 | 0.8145 | 0.4376 | — | — | — | — | |
| STECType=Attention Based Models2023.08 | 0.8143 | 0.4379 | — | — | — | — | |
| EDCNYear=2021, #Params=112.8M2023.12 | 0.8143 | 0.4377 | — | — | — | — | |
| xDeepFMYear=2018, #Params=120.5M2023.12 | 0.8143 | 0.4378 | — | — | — | — | |
| DeepFMYear=2017, #Params=117.6M2023.12 | 0.8142 | 0.4377 | — | — | — | — | |
| EDCNType=Base Models2023.08 | 0.8142 | 0.4373 | — | — | — | 0.01 | |
| CL4CTRYear=2023, #Params=112.5M2023.12 | 0.8142 | 0.4378 | — | — | — | — | |
| DCNYear=2017, #Params=132.5M2023.12 | 0.8141 | 0.4381 | — | — | — | — | |
| SerMaskNetModel Class=High-order2023.11 | 0.8141 | 0.4379 | — | — | — | — | |
| AFN+Type=Base Models2023.08 | 0.8141 | 0.4377 | — | — | — | 0.02 | |
| AOANetType=Base Models2023.08 | 0.8141 | 0.4378 | — | — | — | 0.02 | |
| CN-V2Model Class=High-order2023.11 | 0.814 | 0.438 | — | — | — | — | |
| DCNv2Year=2021, #Params=114.9M2023.12 | 0.814 | 0.4384 | — | — | — | — | |
| IPNNYear=2016, #Params=114.6M2023.12 | 0.8139 | 0.4382 | — | — | — | — | |
| DeepIMType=Base Models2023.08 | 0.8139 | 0.438 | — | — | — | 0.05 | |
| DCNv2Type=Base Models2023.08 | 0.8139 | 0.4378 | — | — | — | 0.05 | |
| Wide & DeepYear=2016, #Params=120.4M2023.12 | 0.8138 | 0.4381 | — | — | — | — | |
| Wide&DeepType=Base Models2023.08 | 0.8138 | 0.438 | — | — | — | 0.06 | |
| DCNType=Base Models2023.08 | 0.8138 | 0.4378 | — | — | — | 0.06 | |
| RankMixerembedding dimension=20, batch size=4096, (T, D)=(15, 26)2026.05 | 0.8138 | 0.438 | — | — | — | — | |
| DNNYear=2016, #Params=115.7M2023.12 | 0.8137 | 0.4382 | — | — | — | — | |
| DeepFMType=Base Models2023.08 | 0.8137 | 0.4381 | — | — | — | 0.07 | |
| MaskNetType=Base Models2023.08 | 0.8137 | 0.438 | — | — | — | 0.07 | |
| AutoInt+Type=Attention Based Models2023.08 | 0.8137 | 0.4379 | — | — | — | 0.07 | |
| DCNv2embedding dimension=20, batch size=40962026.05 | 0.8137 | 0.4382 | — | — | — | — | |
| xDeepFMType=Base Models2023.08 | 0.8136 | 0.438 | — | — | — | 0.09 | |
| OPNNModel Class=High-order2023.11 | 0.8135 | 0.4383 | — | — | — | — | |
| IPNNType=Base Models2023.08 | 0.8134 | 0.4383 | — | — | — | 0.11 | |
| FiGNNYear=2019, #Params=111.1M2023.12 | 0.8133 | 0.4389 | — | — | — | — | |
| xDeepFMembedding dimension=20, batch size=40962026.05 | 0.8133 | 0.4385 | — | — | — | — | |
| AutoIntembedding dimension=20, batch size=40962026.05 | 0.8133 | 0.4385 | — | — | — | — | |
| DESTINEType=Attention Based Models2023.08 | 0.8131 | 0.438 | — | — | — | 0.15 | |
| AFN+Year=2020, #Params=226.3M2023.12 | 0.8131 | 0.4392 | — | — | — | — | |
| MLPembedding dimension=20, batch size=40962026.05 | 0.8131 | 0.4393 | — | — | — | — | |
| AutoInt+Year=2019, #Params=170.5M2023.12 | 0.813 | 0.4389 | — | — | — | — | |
| FiBiNetModel Class=High-order2023.11 | 0.8129 | 0.4389 | — | — | — | — | |
| FiBiNETType=Base Models2023.08 | 0.8129 | 0.4388 | — | — | — | 0.17 | |
| DIFMModel Class=Second-order2023.11 | 0.8128 | 0.4395 | — | — | — | — | |
| IPNNModel Class=High-order2023.11 | 0.8128 | 0.439 | — | — | — | — | |
| FINTModel Class=High-order2023.11 | 0.8128 | 0.439 | — | — | — | — | |
| MaskNetYear=2021, #Params=116.8M2023.12 | 0.8124 | 0.4395 | — | — | — | — | |
| FmFMModel Class=Second-order2023.11 | 0.8122 | 0.4399 | — | — | — | — | |
| CINModel Class=High-order2023.11 | 0.8121 | 0.4398 | — | — | — | — | |
| AutoIntModel Class=High-order2023.11 | 0.8118 | 0.4399 | — | — | — | — | |
| AFNModel Class=High-order2023.11 | 0.8116 | 0.4401 | — | — | — | — | |
| DCN-V2Params=3.5M, FLOPS=7.0M, DNN Setting=(2, 768), Model-Specific Setting=l=22020.08 | 0.8115 | 0.4406 | — | — | — | — | |
| DeepLightStructure=D-99% & R-95% & F-40%2020.02 | 0.8114 | 0.4405 | — | — | 0.093 | — | |
| DCN-MixParams=2.4M, FLOPS=4.8M, DNN Setting=(2, 512), Model-Specific Setting=l=3, K=4, r=2582020.08 | 0.8112 | 0.4408 | — | — | — | — | |
| FwFMModel Class=Second-order2023.11 | 0.8112 | 0.4408 | — | — | — | — | |
| EulerNetYear=2023, #Params=113.4M2023.12 | 0.811 | 0.4426 | — | — | — | — | |
| FiBiNet++Paras.=0.56M2022.09 | 0.811 | — | — | — | — | — | |
| CrossNetParams=2.1M, FLOPS=4.2M, Model-Specific Setting=l=4, K=4, r=2582020.08 | 0.8107 | 0.4413 | — | — | — | — | |
| GraphFMYear=2022, #Params=111.0M2023.12 | 0.8105 | 0.4413 | — | — | — | — | |
| Sparse xDeepFMStructure=D-99% & C-99% & F-40%2020.02 | 0.8102 | 0.4421 | — | — | 0.907 | — | |
| AutoInt+Params=4.2M, FLOPS=8.7M, DNN Setting=(4, 1024), Model-Specific Setting=l=2, h=2, e=402020.08 | 0.8101 | 0.442 | — | — | — | — | |
| OptInterNumber of parameters=100M2021.08 | 0.8101 | 0.4417 | — | — | — | — | |
| PNNParams=3.1M, FLOPS=6.1M, DNN Setting=(3, 1024), Model-Specific Setting=OPNN2020.08 | 0.8099 | 0.4421 | — | — | — | — | |
| DeepFmParams=1.4M, FLOPS=2.8M, DNN Setting=(2, 768)2020.08 | 0.8099 | 0.442 | — | — | — | — | |
| xDeepFmParams=3.7M, FLOPS=32M, DNN Setting=(3, 1024), Model-Specific Setting=l=2, n=1002020.08 | 0.8099 | 0.4421 | — | — | — | — | |
| DCNParams=2.1M, FLOPS=4.2M, DNN Setting=(2, 1024), Model-Specific Setting=l=42020.08 | 0.8099 | 0.442 | — | — | — | — | |
| DNNParams=3.2M, FLOPS=6.3M, DNN Setting=(3, 1024)2020.08 | 0.8098 | 0.4421 | — | — | — | — | |
| OptInter-MNumber of parameters=225M2021.08 | 0.8094 | 0.4423 | — | — | — | — | |
| DLRMParams=1.1M, FLOPS=2.2M, DNN Setting=(2, 768), Model-Specific Setting=[512, 256, 64]2020.08 | 0.8092 | 0.4427 | — | — | — | — | |
| DCN v2Paras.=0.65M2022.09 | 0.8088 | — | — | — | — | — | |
| FMModel Class=Second-order2023.11 | 0.8085 | 0.4433 | — | — | — | — | |
| FMYear=2010, #Params=116.5M2023.12 | 0.8079 | 0.4443 | — | — | — | — | |
| AutoInt+Paras.=0.48M2022.09 | 0.8078 | — | — | — | — | — | |
| DNNParas.=0.48M2022.09 | 0.8073 | — | — | — | — | — | |
| DCNParas.=0.48M2022.09 | 0.8073 | — | — | — | — | — | |
| FiBiNetParas.=7.25M2022.09 | 0.8073 | — | — | — | — | — | |
| InterHAtType=Attention Based Models2023.08 | 0.8072 | 0.4441 | — | — | — | 0.88 | |
| CNModel Class=High-order2023.11 | 0.8071 | 0.4442 | — | — | — | — | |
| AFMYear=2017, #Params=116.5M2023.12 | 0.8071 | 0.4445 | — | — | — | — | |
| XCrossNetembedding size=20, neurons per deep layer=400, depth of deep layers=2, cross layers (l)=42021.04 | 0.8068 | 0.5339 | — | — | — | — | |
| xDeepFMParas.=4.90M2022.09 | 0.8064 | — | — | — | — | — | |
| DeepFMParas.=1.48M2022.09 | 0.8058 | — | — | — | — | — | |
| NFMYear=2017, #Params=118.6M2023.12 | 0.8054 | 0.4464 | — | — | — | — | |
| AFMType=Attention Based Models2023.08 | 0.8037 | 0.447 | — | — | — | 1.32 | |
| Sparse DeepFMStructure=D-98% & F-40%2020.02 | 0.8032 | 0.4496 | — | — | 0.114 | — | |
| Sparse NFMStructure=D-98% & F-40%2020.02 | 0.8031 | 0.4494 | — | — | 0.114 | — | |
| AutoGroupembedding size=202021.04 | 0.8028 | 0.5384 | — | — | — | — | |
| FGCNN2019.04 | 0.8022 | 0.5388 | — | — | — | — | |
| FGCNNembedding size=202021.04 | 0.8022 | 0.5389 | — | — | — | — | |
| INNembedding vector size=30, depth of layers=5, neurons per layer=7002020.06 | 0.802 | 0.5409 | — | — | — | — | |
| PINembedding size=fixed2019.04 | 0.8018 | 0.5393 | — | — | — | — | |
| PINembedding size=20, neurons per deep layer=400, depth of deep layers=22021.04 | 0.8018 | 0.5394 | — | — | — | — | |
| PINNumber of parameters=17M2021.08 | 0.8016 | 0.451 | — | — | — | — | |
| AutoFISNumber of parameters=22M2021.08 | 0.8014 | 0.4514 | — | — | — | — | |
| IPNN2019.04 | 0.8013 | 0.5399 | — | — | — | — | |
| IPNNembedding size=20, neurons per deep layer=400, depth of deep layers=22021.04 | 0.8013 | 0.5399 | — | — | — | — | |
| DeepFM2017.03 | 0.8007 | 0.4508 | — | — | — | — | |
| xDeepFM2019.04 | 0.8006 | 0.5408 | — | — | — | — | |
| xDeepFMembedding size=20, neurons per deep layer=400, depth of deep layers=22021.04 | 0.8006 | 0.5408 | — | — | — | — | |
| IPNNNumber of parameters=13M2021.08 | 0.8005 | 0.4504 | — | — | — | — | |
| OptInter-FNumber of parameters=21M2021.08 | 0.8003 | 0.4507 | — | — | — | — |