RETRACTION：数字图书馆管理的自然语言处理与深度学习混合内容检索模型

IF 3 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems Pub Date : 2024-10-15 DOI:10.1111/exsy.13753

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引用次数: 0

摘要

撤稿：M. Ragab、A. Almuhammadi、R. F. Mansour 和 S. Kadry，" Natural Language Processing With Deep Learning Enabled Hybrid Content Retrieval Model for Digital Library Management，" Expert Systems 41，no. 6 (2024)：e13135，https://doi.org/10.1111/exsy.13135。上述文章于 2022 年 9 月 13 日在线发表于 Wiley Online Library (wileyonlinelibrary.com)，经期刊主编大卫-卡马乔（David Camacho）与 John Wiley & Sons Ltd.（John Wiley & Sons Ltd.）协商，已被撤回。这篇文章是作为特邀编辑特刊的一部分提交的。文章发表后，本刊注意到，这篇文章是在有损同行评审程序的基础上被接受的。因此，编辑决定撤回这篇文章。作者不同意撤稿。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

RETRACTION: Natural Language Processing With Deep Learning Enabled Hybrid Content Retrieval Model for Digital Library Management

RETRACTION: M. Ragab, A. Almuhammadi, R. F. Mansour and S. Kadry, “ Natural Language Processing With Deep Learning Enabled Hybrid Content Retrieval Model for Digital Library Management,” Expert Systems 41, no. 6 (2024): e13135, https://doi.org/10.1111/exsy.13135.

The above article, published online on 13 September 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to the attention of the journal that this article was accepted on the basis of a compromised peer review process. The editors have therefore decided to retract this article. The authors disagree with the retraction.

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来源期刊

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.