eLibrary
  • Home
  • Sources
  • Search
  • About

Exploration of the Application of Artificial Intelligence Technology and CCRT Automobile Evaluation

Hongfeng Pan, Jie Mao, Zhenjiang Wu
Scientific Journal of Intelligent Systems Research, (2026), Vol.8, No.2, pp.67-72
Published: March 30, 2026
DOI: 10.54691/pfczm456
PDF: Download Full Text PDF
Abstract

This study focuses on the integration and innovation of artificial intelligence technology and the China Car Consumer Research and Test (CCRT) system. It aims to address issues in the traditional manual analysis of the CCRT evaluation system, such as low efficiency, insufficient analysis accuracy, and limited data processing capabilities, by introducing AI technologies like machine learning and natural language processing. The goal is to improve evaluation efficiency and accuracy, provide more timely and reliable car purchase references for automotive consumers, and offer a scientific basis for automotive enterprises in product improvement and market promotion. The research systematically sorts out the development status and limitations of the CCRT evaluation system, deeply analyzes the application advantages of AI technology in the field of automotive evaluation, conducts research on subjective evaluation analysis using artificial intelligence technology, verifies the feasibility and effectiveness of combining AI with CCRT, and provides feasible ideas for the in-depth application of AI technology in CCRT automotive evaluation.

Keywords: Automotive Consumer Evaluation; CCRT Evaluation System; AI Technology Integration.
APA Citation: Hongfeng Pan, Jie Mao, Zhenjiang Wu (2026). Exploration of the Application of Artificial Intelligence Technology and CCRT Automobile Evaluation. Scientific Journal of Intelligent Systems Research, 8(2), 67-72. https://doi.org/10.54691/pfczm456

References

  1. Li Xiangrong, Zhou Boya, Zhang Shijian, et al. CCRT: A Trustworthy National Car-Selection Assistant[J]. Consumer Guide, 2022(10):52-55.
  2. Luo Lin, Zhang Fei, Wei Yiming, et al. Research on Intelligent Analysis and Classification Technology of Power Equipment Defect Texts Based on Artificial Intelligence[C]//Excellent Papers Collection of Zhejiang Electrical Power Society 2019. 2020.
  3. Xu Jun, Ding Yuxin, Wang Xiaolong. Automatic Sentiment Classification of News Using Machine Learning Methods[J]. Journal of Chinese Information Processing, 2007, 21(6):95-100. DOI:10.3969/j.issn.1003-0077.2007.06.013.
  4. Guo Zhimao, Zhou Aoying. A Survey of Research on Data Quality and Data Cleaning[J]. Journal of Software, 2002. DOI: CNKI:SUN:RJXB.0.2002-11-002.
  5. Song J, Zan H, Liu T, et al.Text classification based on multilingual back-translation and model ensemble[C]//China Health Information Processing Conference. Singapore: Springer Nature Singapore, 2023: 231-241.
  6. E Haihong, Song Meina, Wang Xinrui, et al. Training method, classification method and device for question classification model based on deep learning: CN201710375175.4[P]. CN107291822B[2026-03-10].
© 2026 eLibrary ยท Stand on the shoulders of giants