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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
 et 
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
  
30 sept. 2022
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Publié en ligne: 30 sept. 2022
Pages: 789 - 798
Reçu: 20 mai 2022
Accepté: 16 août 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.

Fig. 1

Data dimension reduction and filtering
Data dimension reduction and filtering

Fig. 2

Precision of BMR, BFR, TBRR and LSCR
Precision of BMR, BFR, TBRR and LSCR

Fig. 3

Recall of BMR, BFR, TBRR and LSCR
Recall of BMR, BFR, TBRR and LSCR

Fig. 4

F1-MEASURE of BMR, BFR, TBRR and LSCR
F1-MEASURE of BMR, BFR, TBRR and LSCR

Fig. 5

MAE of BMR, BFR, TBRR and LSCR. MAE, mean average error
MAE of BMR, BFR, TBRR and LSCR. MAE, mean average error
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Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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