Research on precision playing method of website advertising based on machine learning Online publication date: Mon, 13-Sep-2021
by Zhuomin Huang; Weiying Zhang
International Journal of Information and Communication Technology (IJICT), Vol. 19, No. 3, 2021
Abstract: The relevant data of website advertising is complex, and the existing calculation methods have the problems of dynamic and low storage box, which leads to the website advertising not targeted to the correct users. Based on machine learning, this paper puts forward a method of precise placement of website advertisement. The output vector of the previous hidden layer is added to the output vector of the input layer as the input vector of the hidden layer. The output vector of the hidden layer is obtained by using the excitation function for the input vector of the hidden layer at a certain time. The error calculation of the above-mentioned results and the ideal output results is carried out based on the error. The experimental results show that the method has high precision of placement, and the degree of freedom varies between 224 and 248, explain the complexity of the method lower.
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