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A long command subsequence algorithm for manufacturing industry recommendation systems with similarity connection technology

Siyu Huang

Siyu Huang

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
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Huang, Siyu
, 
Xueyan Huang

Xueyan Huang

School of Educational Science, Quanzhou Normal UniversityQuanzhou, China
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Huang, Xueyan
, 
Taisheng Zeng

Taisheng Zeng

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
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Zeng, Taisheng
, 
Danlin Cai

Danlin Cai

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
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Cai, Danlin
 and 
Daxin Zhu

Daxin Zhu

  • School of Mathematics and Computer Science, Quanzhou Normal UniversityQuanzhou, China
  • Fujian Provincial Key Laboratory of Data Intensive ComputingQuanzhou, China
  • Key Laboratory of Intelligent Computing and Information Processing, Fujian Province UniversityQuanzhou, China
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Zhu, Daxin
  
Sep 30, 2022
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Published Online: Sep 30, 2022
Page range: 789 - 798
Received: May 20, 2022
Accepted: Aug 16, 2022
DOI: https://doi.org/10.2478/amns.2021.2.00232
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© 2023 Siyu Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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