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Algorithm Research & Explore
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2386-2389,2400

Improved Transformer based model for click-through rate prediction

Zhou Fei
Xu Hongzhen
School of Information Engineering, East China University of Technology, Nanchang 330013, China

Abstract

Aiming at the problem that the existing click-through rate prediction models fail to accurately dig out the historical interest of users and the influence of historical interest on whether or not the target advertisement is clicked, this paper proposed a click-through rate prediction model based on the improved Transformer. The new model used Transformer network to capture the potential historical interest hidden behind the user's click sequence. At the same time, in response to the problem that the Transformer modeling user's historical interest sequence could not effectively associate the target advertisement, it proposed an improved Transformer network. The new model not only effectively captured the user's historical interest, but also considered the association with the target advertisement to enhance estimated performance. Experimental results demonstrate that the new model shows better performance than other models.

Foundation Support

江西省青年科学家培养对象计划项目(20142BCB23017)
江西省教育厅科技计划项目(GJJ151538,GJJ160554)
江西省放射性地学大数据技术工程实验室开放项目(JELRGBDT201802)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0355
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2386-2389,2400
Serial Number: 1001-3695(2021)08-025-2386-04

Publish History

[2021-08-05] Printed Article

Cite This Article

周菲, 徐洪珍. 基于改进Transformer的广告点击率预估模型 [J]. 计算机应用研究, 2021, 38 (8): 2386-2389,2400. (Zhou Fei, Xu Hongzhen. Improved Transformer based model for click-through rate prediction [J]. Application Research of Computers, 2021, 38 (8): 2386-2389,2400. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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