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• W3217652208 abstract "This article analyzes the development and main functions of artificial intelligence technology and then studies its specific application in e-commerce marketing. The application of artificial intelligence technology in the e-commerce industry can effectively improve the service quality and work efficiency of the e-commerce sales link, and this article believes that the construction of urban green space is an indispensable part of every urban ecosystem in our country playing an active role in promoting urban economy and development. This article takes this issue as the main starting point and studies the structure of plant communities, the pattern of plant landscapes, and the correlation between various plant ecological factors inside and outside the plant community. In today’s society, data and information are hot resources that major companies compete with each other. The use of Internet big data technology to further improve the marketing effect of enterprises can create a new network marketing management model, which is very important for giving full play to the current role and value of my country’s e-commerce products, and industry Internet big data domestic e-commerce has also continued to develop rapidly. The e-commerce market has continued to expand and refine. The overall economic growth and scale driven by Internet e-commerce have steadily increased. However, the development speed of logistics is still lagging behind my country’s e-commerce. And logistics is an important basic link to improve the core competitiveness of the e-commerce industry. Whether an existing logistics model that an enterprise needs to choose can be applied to a long-term development strategy has gradually become an issue that researchers and enterprises pay close attention to." @default.
• W3217652208 created "2021-12-06" @default.
• W3217652208 creator A5005577634 @default.
• W3217652208 date "2021-11-23" @default.
• W3217652208 modified "2023-09-27" @default.
• W3217652208 title "Retraction Note: Artificial intelligence-based plant environment detection in coastal areas and B2C e-commerce network marketing" @default.
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• W3217652208 doi "https://doi.org/10.1007/s12517-021-09082-z" @default.
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