RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management

IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-12-04 DOI:10.1111/exsy.13819
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引用次数: 0

Abstract

Retraction: X. Yu, Y. Zhu, C. Jia, W. Lu, and H. Xu, “ The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management,” Expert Systems 41, no. 5 (2024): e13258. https://doi.org/10.1111/exsy.13258.

The above article, published online on 22 February 2023, in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. Following an investigation by the publisher, the parties have concluded that this article was accepted solely on the basis of a compromised peer review process. In addition, the investigation found logical inconsistencies between the topic of the article and the conclusions reached in this article. Therefore, the article must be retracted. The authors did not respond to the notice regarding the retraction.

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基于深度分解机器深度学习模型的供应链管理下绿色广告传播策略分析
引用本文:于昕,朱艳,贾超,卢伟,徐辉,“供应链管理下基于深度分解机器深度学习模型的绿色广告传播策略分析”,《专家系统》,第41期。5 (2024): e13258。https://doi.org/10.1111/exsy.13258。上述文章于2023年2月22日在线发表在Wiley在线图书馆(http://onlinelibrary.wiley.com/)上,经期刊主编David Camacho;约翰·威利&;经过出版商的调查,双方得出结论,这篇文章完全是在一个妥协的同行评审过程的基础上被接受的。此外,调查发现文章的主题与本文得出的结论在逻辑上不一致。因此,这篇文章必须撤回。作者没有回应有关撤稿的通知。
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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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