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CTR预估之Wide&Deep系列模型:DeepFM/DCN

 11 months ago
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CTR预估之Wide&Deep系列模型:DeepFM/DCN

image-3020e864e76243d2b96df4b8ad341c04.png-imageStyle
前言在CTR预估中, FM系列模型使用浅层网络(线性模型),让模型自己学习特征组合交互,为显式建模的方式;而DNN系列模型使用深层网络,隐式挖掘模型的高阶特征交互。本文继续介绍结合这两者优点的另外一个系列: Wide&Deep,即同时加入低阶特征组合交互的

CTR预估之Wide&Deep系列模型:DeepFM/DCN


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