Cross-border e-commerce platform for commodity automatic pricing model based on deep learning-Reference-Cited by-同舟云学术

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Cross-border e-commerce platform for commodity automatic pricing model based on deep learning

Published:2020-11-12 Issue: Volume: Page:
ISSN:1389-5753
Container-title:Electronic Commerce Research
language:en
Short-container-title:Electron Commer Res

Author:

Guo Lina^ORCID

Funder

Research project of Henan science and technology think tank in 2020

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10660-020-09449-6.pdf

Reference20 articles.

1. Li, G., & Li, N. (2019). Customs classification for cross-border e-commerce based on text-image adaptive convolutional neural network. Electronic Commerce Research, 19(4), 779–800.

2. Tian, M. (2019). The in-depth marketing environment of cross-border e-commerce experience stores. Ekoloji, 28(107), 2861–2864.

3. Wang, F., Yang, Y., Tso, G. K. F., et al. (2019). Analysis of launch strategy in cross-border e-commerce market via topic modeling of consumer reviews. Electronic Commerce Research, 19(4), 863–884.

4. Leung, K. H., Luk, C. C., Choy, K. L., et al. (2019). A B2B flexible pricing decision support system for managing the request for quotation process under e-commerce business environment. International Journal of Production Research, 57(20), 6528–6551.

5. Rosenblatt, F. (1959). A probabilistic model for visual perception. Acta Psychologica, 15(5), 296–297.

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