Wide & Deep (FM & DNN)

Reported on 2 benchmarks across 1 task · 1 paper

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

Miscellaneous2 results

Click-Through Rate PredictiononCompany*
AUC· 2016-06-24
0.8661
best: 0.8715 (DeepFM)
Wide & Deep Learning for Recommender Systems arXiv:1606.07792
Click-Through Rate PredictiononCompany*
Log Loss· 2016-06-24
0.0264
best: 0.02618 (DeepFM)
Wide & Deep Learning for Recommender Systems arXiv:1606.07792