收回:基于深度学习和智能区块链的电子商务平台营销方法和评论识别模型的优化

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IET Software Pub Date : 2023-02-03 DOI:10.1049/sfw2.12117
Tao Cheng, Lianjiang Li
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引用次数: 0

摘要

收回:[Tao Cheng,Lianjiang Li,基于深度学习和智能区块链的电子商务平台营销方法和评论识别模型的优化,IET Software 2023(https://doi.org/10.1049/sfw2.12117)]来自IET Software的上述文章于2023年2月3日在线发表在威利在线图书馆(wileyonlinelibrary.com),经主编Hana Chockler、工程与技术学会(IET)和John Wiley and Sons有限公司之间的协议撤回。本文作为客座编辑特刊的一部分发表。经过调查,IET和该杂志确定,这篇文章没有按照该杂志的同行评审标准进行评审,有证据表明该特刊的同行评审过程受到了系统的操纵。因此,我们不能保证内容的完整性或可靠性。因此,我们决定收回这篇文章。提交人已被告知撤回的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Retracted: Optimization of E-commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain

Retraction: [Tao Cheng, Lianjiang Li, Optimization of E-commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain, IET Software 2023 (https://doi.org/10.1049/sfw2.12117)].

The above article from IET Software, published online on 3 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.

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来源期刊
IET Software
IET Software 工程技术-计算机:软件工程
CiteScore
4.20
自引率
0.00%
发文量
27
审稿时长
9 months
期刊介绍: IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf
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