DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

  title={DeepFM: A Factorization-Machine based Neural Network for CTR Prediction},
  author={Huifeng Guo and Ruiming Tang and Yunming Ye and Zhenguo Li and Xiuqiang He},
Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards lowor high-order interactions, or require expertise feature engineering. In this paper, we show that it is possible to derive an end-to-end learning model that emphasizes both lowand highorder feature interactions. The proposed model, DeepFM, combines the power of factorization machines for… CONTINUE READING
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  • 2016
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