Deep Interest Network for Click-Through Rate Prediction

21 Jun 2017Guorui ZhouChengru SongXiaoqiang ZhuYing FanHan ZhuXiao MaYanghui YanJunqi JinHan LiKun Gai

Click-through rate prediction is an essential task in industrial applications, such as online advertising. Recently deep learning based models have been proposed, which follow a similar Embedding\&MLP paradigm... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Click-Through Rate Prediction Amazon DIN + Dice Activation AUC 0.8871 # 1
Click-Through Rate Prediction Amazon DIN AUC 0.8818 # 2
Click-Through Rate Prediction MovieLens 20M DIN AUC 0.7337 # 2
Click-Through Rate Prediction MovieLens 20M DIN + Dice Activation AUC 0.7348 # 1