Internet advertising is a hundreds of billions of dollars of market. CTR( click-through-rate) is an important indicator of the effectiveness of Internet advertising. In the CTR prediction model,features are used to be a key factor to the success or failure of many machine learning projects and the characteristics of the feature will directly affect the final model. In order to make the Internet advertisement CTR prediction model can be more accurate,this paper put forward a GBDT-based multidimensional featu...
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