Click-Through Rate Prediction on Bing News

Metric: Log Loss (lower is better)

LeaderboardDataset

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#	Model↕	Log Loss▲	Extra Data	Paper	Date↕	Code
1	xDeepFM	0.2649	No	xDeepFM: Combining Explicit and Implicit Feature...	2018-03-14	Code
2	Wide & Deep	0.2668	No	Wide & Deep Learning for Recommender Systems	2016-06-24	Code
3	DeepFM	0.2671	No	DeepFM: A Factorization-Machine based Neural Net...	2017-03-13	Code
4	PNN	0.2775	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
5	DNN	0.3382	No	xDeepFM: Combining Explicit and Implicit Feature...	2018-03-14	Code

#1xDeepFMSOTA
0.2649
Log Loss· 2018-03-14
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Code
#2Wide & DeepSOTA
0.2668
Log Loss· 2016-06-24
Wide & Deep Learning for Recommender Systems Code
#3DeepFM
0.2671
Log Loss· 2017-03-13
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Code
#4PNN
0.2775
Log Loss· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#5DNN
0.3382
Log Loss· 2018-03-14
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Code