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A Survey on the Application of Artificial Intelligence Technology in the Field of Intelligent Identification and Recommendation of Master Data

  • Xiangsen Wang,
  • Dan Zou,
  • Jiang Wu

摘要

With the increasingly prominent problem of data explosion and data quality, this paper reviews the application of intelligent technology in the field of intelligent identification and recommendation of master data. In the aspect of intelligent identification technology of master data, the research focus is to use machine learning and deep learning technology to realize automatic identification and classification of data. The application method of machine learning and deep learning in master data identification is introduced in detail, and the actual case is analyzed. In the intelligent recommendation part of master data, the application of collaborative filtering algorithm and similarity algorithm in master data recommendation is discussed, and the related cases are analyzed.