conference-paper

Design of Optimizing System for Advertisement on Vertical Types Based on Neural Network

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Abstract

The target users of different information flow advertising channels have different preferences for vertical ads. The neural network training model is used to predict the advertising results through the proportion of different types of vertical ads, so as to improve advertising efficiency and reduce advertising costs.

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Publication details

DOI
10.1109/icsess49938.2020.9237690
OpenAlex
W3095530010
Document type
conference-paper
Language
EN
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