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Models/xDeepFM

xDeepFM

Reported on 7 benchmarks across 1 task · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous7 results

Click-Through Rate PredictiononBing News
AUC· 2018-03-14
0.84
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononBing News
Log Loss· 2018-03-14
0.2649
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononKKBox
AUC· 2018-03-14
0.8535
best: 0.8557 (FCN)
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononDianping
AUC· 2018-03-14
0.8639
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononDianping
Log Loss· 2018-03-14
0.3156
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononCriteo
AUC· 2018-03-14
0.8052
best: 0.8163 (QNN-α)
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170
Click-Through Rate PredictiononCriteo
Log Loss· 2018-03-14
0.4418
best: 0.4358 (QNN-α)
SOTA
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems arXiv:1803.05170