Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction

4 Dec 2018Chenglei NiuGuojing ZhongYing LiuYandong ZhangYongsheng SunAilong HeZhaoji Chen

With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role.Recently many DNN-based models which follow a similar Embedding&MLP paradigm have been proposed, and have achieved good result in image/voice and nlp fields. In these methods the Wide&Deep model announced by Google plays a key role.Most models first map large scale sparse input features into low-dimensional vectors which are transformed to fixed-length vectors, then concatenated together before being fed into a multilayer perceptron (MLP) to learn non-linear relations among input features... (read more)

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