Deep learning-based advertisement click-through rate prediction method and device

Abstract

The invention discloses a deep learning-based advertisement click-through rate prediction method and device. The method includes the following steps that: a preset number of training advertisements as well as training click-through rates and training characteristics of each training advertisement are acquired; the training characteristics of each training advertisement are converted into training vectors, a deep learning model is trained by using the training vectors and the training click-through rates of each training advertisement, wherein the deep learning model is realized based on a nonlinear function; and a vector to be tested converted from characteristics to be tested of an advertisement to be tested is obtained, and the vector to be tested is adopted as the input of the deep learning model, and a predictive click-through rate corresponding to the advertisement to be tested is obtained. According to the deep learning model in the method of the invention, nonlinear relationships between the characteristics are fully considered, and thus, after the vector to be tested is inputted into the deep learning model, the deep learning model can efficiently and accurately output the predictive click-through rate corresponding to the vector to be tested based on the nonlinear function.

Description

technical field [0001] The present invention relates to the technical field of Internet computing advertisements, and more specifically, to a method and device for predicting the click-through rate of advertisements based on deep learning. Background technique [0002] With the rapid development of the Internet, Internet advertising has also emerged. Compared with traditional advertising, Internet advertising has unique advantages and is one of the important parts of implementing modern marketing media strategies. Internet advertising is referred to as advertising hereinafter. Whether it is search ads, display ads, or mobile device ads, click-through rate estimation is the core issue in the field of Internet advertising, and the accuracy of click-through rate estimates directly affects the interests of the three parties, including user experience, advertiser revenue, and advertising platform revenue. , which in turn affects the balance of the entire advertising ecosystem. T...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and device for predicting the click-through rate of advertisements based on deep learning, so as to solve the problems of low accuracy and poor effect in the prediction of click-through rates of advertisements in the prior art

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