《DeepFM: A Factorization-Machine based Neural Network for CTR Prediction》阅读笔记
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 现有的针对CTR预估问题的解决方案，普遍对不同阶的交叉特征有着偏好，或者需要专家级特征工程。文章提出了DeepFM模型，能够实现端到端训练，不需要额外的特征工程，并且可以自动地提取交叉特征。 CTR预估中，一个很重要的内容就是去挖掘点击背后隐藏的特
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相关文章
- 1. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction (2017)论文要点
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- 9. [IJCAI 2017]A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- 10. 【阅读笔记】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》