Business model innovation of advertising operation based on RBM deep neural network
RBM, as an important structural component unit in the mainstream model of deep learning, is being widely used in various fields. The article first discusses the RBM deep neural network algorithm, gives an overview of the related function algorithm combining RBM and neural network, and then proposes...
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| Published in | Applied mathematics and nonlinear sciences Vol. 9; no. 1 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Beirut
Sciendo
01.01.2024
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2444-8656 2444-8656 |
| DOI | 10.2478/amns-2024-2206 |
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| Abstract | RBM, as an important structural component unit in the mainstream model of deep learning, is being widely used in various fields. The article first discusses the RBM deep neural network algorithm, gives an overview of the related function algorithm combining RBM and neural network, and then proposes a deep network method oriented to the prediction of advertisement click rate. At the end of the article, the algorithm proposed in this paper is compared with the model performance test. An advertising company is used as an object of empirical research to analyze the change in its market share and turnover in the years 2022-2023. Explore the significance and role of RBM-based deep neural networks in the innovation of advertising business models. |
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| AbstractList | RBM, as an important structural component unit in the mainstream model of deep learning, is being widely used in various fields. The article first discusses the RBM deep neural network algorithm, gives an overview of the related function algorithm combining RBM and neural network, and then proposes a deep network method oriented to the prediction of advertisement click rate. At the end of the article, the algorithm proposed in this paper is compared with the model performance test. An advertising company is used as an object of empirical research to analyze the change in its market share and turnover in the years 2022-2023. Explore the significance and role of RBM-based deep neural networks in the innovation of advertising business models. |
| Author | Li, You |
| Author_xml | – sequence: 1 givenname: You surname: Li fullname: Li, You email: dennis872024@163.com organization: Geely Automotive College, Hangzhou Vocational and Technical College, Hangzhou, Zhejiang, 310000, China |
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| Cites_doi | 10.1080/15252019.2017.1366885 10.1080/21639159.2020.1808812 10.1002/bse.1906 10.5465/annals.2014.0072 10.1016/j.jclepro.2018.11.290 10.4324/9781003175704 10.1108/IJEBR-06-2018-0425 10.1016/j.pubrev.2019.03.002 10.1016/j.asoc.2016.08.056 10.1016/j.indmarman.2018.01.001 10.4324/9781003155249-12 10.1016/j.jbusres.2017.12.047 10.1007/s42484-023-00135-y 10.1016/j.promfg.2018.03.002 10.1108/IJEBR-12-2021-0984 10.1016/j.jclepro.2016.06.124 10.4324/9781003114833 10.3390/su11247016 10.1016/j.cie.2023.109605 |
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| SubjectTerms | 00A71 Advertising business model Neural network RBM deep neural network |
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| Title | Business model innovation of advertising operation based on RBM deep neural network |
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