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Intelligent recommendation system based on decision model of archive translation tasks

Chen Lilan1, Chen Yongsheng2

  • 1School of Foreign Languages, Guangdong Pharmaceutical University, Guangzhou, China.

Frontiers in Computational Neuroscience
|November 21, 2022
PubMed
Summary

This study introduces an intelligent recommendation system for archive translation tasks. It uses multi-label classification to match archives with users, improving task allocation efficiency and quality over time.

Keywords:
adaptiveclassification algorithmdecision modelintelligent recommender systemmulti-label classification

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