Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning
Cross-border e-commerce is a concrete manifestation of “Internet + foreign trade”, which is conducive to improving the people’s material living standards and quality, and is also the key to promoting my country’s industrial transformation and up...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9181535/ |
| _version_ | 1818584138778673152 |
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| author | Chen Rui |
| author_facet | Chen Rui |
| author_sort | Chen Rui |
| collection | DOAJ |
| description | Cross-border e-commerce is a concrete manifestation of “Internet + foreign trade”, which is conducive to improving the people’s material living standards and quality, and is also the key to promoting my country’s industrial transformation and upgrading. E-commerce platform is the carrier of cross-border e-commerce, and product classification plays a very important role in the e-commerce platform. Aiming at the shortcomings of existing product classification, this paper develops a new classification technology. First, obtain the relevant parameters of the product image through image recognition technology. Secondly, a cross-border e-commerce product classification model is constructed through deep learning technology, and Gray and RGB features of convolution and recursive networks are combined when training the classifier to enhance feature expression. Finally, the applicability and efficiency of related models are verified through performance and functional tests. This technology can effectively improve the rationality of the functional design of the e-commerce platform, thereby improving the efficiency of cross-border commerce business. |
| first_indexed | 2024-12-16T08:16:25Z |
| format | Article |
| id | doaj.art-081bb9badf47447a95c348bf5976a5dc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T08:16:25Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-081bb9badf47447a95c348bf5976a5dc2022-12-21T22:38:14ZengIEEEIEEE Access2169-35362021-01-01910808310809010.1109/ACCESS.2020.30207379181535Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep LearningChen Rui0https://orcid.org/0000-0002-4765-5202Business College, Shandong University of Political Science and Law, Jinan, ChinaCross-border e-commerce is a concrete manifestation of “Internet + foreign trade”, which is conducive to improving the people’s material living standards and quality, and is also the key to promoting my country’s industrial transformation and upgrading. E-commerce platform is the carrier of cross-border e-commerce, and product classification plays a very important role in the e-commerce platform. Aiming at the shortcomings of existing product classification, this paper develops a new classification technology. First, obtain the relevant parameters of the product image through image recognition technology. Secondly, a cross-border e-commerce product classification model is constructed through deep learning technology, and Gray and RGB features of convolution and recursive networks are combined when training the classifier to enhance feature expression. Finally, the applicability and efficiency of related models are verified through performance and functional tests. This technology can effectively improve the rationality of the functional design of the e-commerce platform, thereby improving the efficiency of cross-border commerce business.https://ieeexplore.ieee.org/document/9181535/Cross-border e-commerceimage recognitiondeep learningproduct classification |
| spellingShingle | Chen Rui Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning IEEE Access Cross-border e-commerce image recognition deep learning product classification |
| title | Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning |
| title_full | Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning |
| title_fullStr | Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning |
| title_full_unstemmed | Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning |
| title_short | Research on Classification of Cross-Border E-Commerce Products Based on Image Recognition and Deep Learning |
| title_sort | research on classification of cross border e commerce products based on image recognition and deep learning |
| topic | Cross-border e-commerce image recognition deep learning product classification |
| url | https://ieeexplore.ieee.org/document/9181535/ |
| work_keys_str_mv | AT chenrui researchonclassificationofcrossborderecommerceproductsbasedonimagerecognitionanddeeplearning |