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Customs classification for cross-border e-commerce based on text-image adaptive convolutional neural network

Author

Listed:
  • Guo Li

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Sustainable Development Research Institute for Economy and Society of Beijing)

  • Na Li

    (Beijing Institute of Technology
    Beijing Institute of Technology)

Abstract

Customs classification is an essential international procedure to import cross-border goods traded by various companies and individuals. Proper classification of such goods with high efficiency in light of the rapidly increasing amount of international trade is still challenging. The current abundant e-commence data and advanced machine learning techniques provide an opportunity for cross-border e-commerce sellers to classify goods efficiently. Thus, in this paper, we propose a text-image adaptive convolutional neural network to effectively utilize website information and facilitate the customs classification process. The proposed model includes two independent submodels: one for text and the other for image. The submodels are fused by a novel method, which can adjust the value of parameters according to the model training result. Finally, we conduct a case study and comparison experiments based on a group of customs tariff codes and a data set from an e-commerce website. Experiment results indicate the effectiveness of text and image combination in performance improvement, the outperformance of the adaptive fusion method, as well as the potential of this approach when applied to customs classification.

Suggested Citation

  • Guo Li & Na Li, 2019. "Customs classification for cross-border e-commerce based on text-image adaptive convolutional neural network," Electronic Commerce Research, Springer, vol. 19(4), pages 779-800, December.
    • Handle: RePEc:spr:elcore:v:19:y:2019:i:4:d:10.1007_s10660-019-09334-x
    DOI: 10.1007/s10660-019-09334-x
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    1. Sami Dakhlia & Robert P. Strauss, 2013. "Should Sales Taxes Be Imposed on E-Commerce?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 15(6), pages 803-828, December.
    2. Nan Jing & Tao Jiang & Juan Du & Vijayan Sugumaran, 2018. "Personalized recommendation based on customer preference mining and sentiment assessment from a Chinese e-commerce website," Electronic Commerce Research, Springer, vol. 18(1), pages 159-179, March.
    3. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    4. Wu, Yanfang & Lau, Tuenyu & Atkin, David J. & Lin, Carolyn A., 2011. "A comparative study of online privacy regulations in the U.S. and China," Telecommunications Policy, Elsevier, vol. 35(7), pages 603-616, August.
    5. Frecknall Hughes, Jane & Glaister, Keith, 2001. "Electronic Commerce and International Taxation:: A Square Peg in a Round Hole?," European Management Journal, Elsevier, vol. 19(6), pages 651-658, December.
    6. Lifeng He & Ning Zhang & Lemin Yin, 2018. "The evaluation for perceived quality of products based on text mining and fuzzy comprehensive evaluation," Electronic Commerce Research, Springer, vol. 18(2), pages 277-289, June.
    7. Martin, Aaron K. & Gomes de Andrade, Norberto Nuno, 2013. "Friending the taxman: On the use of social networking services for government eID in Europe," Telecommunications Policy, Elsevier, vol. 37(9), pages 715-724.
    8. Vernon N. Hsu & Kaijie Zhu, 2011. "Tax-Effective Supply Chain Decisions Under China's Export-Oriented Tax Policies," Manufacturing & Service Operations Management, INFORMS, vol. 13(2), pages 163-179, November.
    9. Long Song & Raymond Yiu Keung Lau & Ron Chi-Wai Kwok & Kristijan Mirkovski & Wenyu Dou, 2017. "Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection," Electronic Commerce Research, Springer, vol. 17(1), pages 51-81, March.
    10. Pourakbar, M. & Zuidwijk, R.A., 2018. "The role of customs in securing containerized global supply chains," European Journal of Operational Research, Elsevier, vol. 271(1), pages 331-340.
    11. Yue Ma & Guoqing Chen & Qiang Wei, 2017. "Finding users preferences from large-scale online reviews for personalized recommendation," Electronic Commerce Research, Springer, vol. 17(1), pages 3-29, March.
    12. Anzhong Huang, 2018. "A risk detection system of e-commerce: researches based on soft information extracted by affective computing web texts," Electronic Commerce Research, Springer, vol. 18(1), pages 143-157, March.
    13. Hana Lee & Young Yoon, 2018. "Engineering doc2vec for automatic classification of product descriptions on O2O applications," Electronic Commerce Research, Springer, vol. 18(3), pages 433-456, September.
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    Cited by:

    1. Chuanmin Mi & Yijing Wang & Lin Xiao, 2021. "Prediction on transaction amounts of China’s CBEC with improved GM (1, 1) models based on the principle of new information priority," Electronic Commerce Research, Springer, vol. 21(1), pages 125-146, March.
    2. Lina Guo, 2022. "Cross-border e-commerce platform for commodity automatic pricing model based on deep learning," Electronic Commerce Research, Springer, vol. 22(1), pages 1-20, March.
    3. Wei-Lun Huang & Peng Hu & Sophia Tsai & Xi-Ding Chen, 2021. "The business analysis on the home-bias of E-commerce consumer behavior," Electronic Commerce Research, Springer, vol. 21(3), pages 855-879, September.
    4. Olha Borysenko & Olena Vasyl’yeva & Olga Katerna & Iuliia Masiuk & Oleg Panakhi, 2022. "Modeling the Risks of the Global Customs Space," JRFM, MDPI, vol. 15(12), pages 1-23, December.

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