Title: Research on the effect of mobile multimedia advertising based on deep learning

Authors: Bin Liu

Addresses: School of Art and Design, Jiangxi University of Technology, Nanchang, 330098, China

Abstract: In order to solve the problems of inaccurate analysis and unsatisfactory evaluation effect of traditional methods, this paper proposes a mobile multimedia advertising delivery effect research based on deep learning. Taking the real dataset of mobile multimedia advertising as the research object, the feature data of mobile multimedia advertising are extracted by convolution neural network; and the mobile multimedia advertising feature data are classified with the classification decision model constructed. The extracted feature data are standardised preprocessed, and principal component analysis is introduced to remove the redundancy of feature data; the evaluation index system of mobile multimedia advertising effect is constructed; and the support vector regression model is constructed to evaluate the effect of mobile multimedia advertising. The simulation results show that the proposed method can accurately evaluate the effect of mobile multimedia advertising, and the evaluation accuracy rate can reach 98%, and the evaluation time is short.

Keywords: deep learning; mobile multimedia; delivery effect; convolutional neural network; principal component analysis method; evaluation index.

DOI: 10.1504/IJICT.2022.121793

International Journal of Information and Communication Technology, 2022 Vol.20 No.3, pp.339 - 354

Received: 21 May 2020
Accepted: 13 Sep 2020
Published online: 07 Apr 2022 *

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