Status and trend of China's e-commerce fresh market: based on the research of Chengdu Zhengda Youxian
Keywords:
Zhengda Youfresh; Market Mining; Current Situation AnalysisAbstract
By analyzing the current situation and user characteristics of Chengdu Zhengda Youxian market, this paper discusses the status and trend of online fresh market in the development of China's e-commerce industry. First of all, reviewing the development of China's e-commerce industry, pointed out that the fresh market has entered a stable period with the help of mobile Internet development. Secondly, it makes an in-depth analysis of the user characteristics of CP Youxian, including gender, age, occupation, family income and purchasing behavior. The analysis results show that Zhengda Youxian has a large user base among the young people, but it still needs to increase the publicity efforts and expand the market coverage to meet the growing consumer demand. To sum up, this paper provides an important reference and guidance for the market positioning and development of Zhengda Youxian.
References
[1] Fan Jin, Li Shanshan, Feng Yumeng, Zhao Zhi Yang & He Sheng. Application of wavelet-LSTM model in trend prediction of pulmonary tuberculosis. The Journal of Preventive Medical Intelligence 1-5.
[2] Zhou Xiang, Zhang Shiming, Su Linpeng & Zhang Shouping. Preof monthly precipitation based on attention mechanism and LSTM-CCN. The People's Yangtze River 1-9.
[3] Qiao Shengyang, Xu Huiying, Zhu Xinzhong, Zhou Yuhao, Wei Yuanwang & Zhang Jinjia. contactless heart rate estimation based on deep spatiotemporal feature model. Journal of Jiaxing College 1-10.
[4] Ding Hailan & Qi Kunyu. Automatic extraction of Chinese text topic sentences based on the TextRank algorithm and similarity. Journal of Jilin University (Engineering Edition) 1-9.
[5] LAN Yunchuan, Liao Xiaoqiang & Qiu Siqi. The port crane bearing group considering the constraints of maintenance personnel. Industrial Engineering and Management 1-15.
[6] Pan Baisong, Xue Shuchen, Xie Shaojun & Li Yifan. Method for predicting residual life of harmonic reducer based on soft wheel crack extension. Computer Integrated Manufacturing System 1-22.
[7] MA Kai,SHEN Chaopeng,XU Ziyue & HE Daming.Transfer learning framework for streamflow prediction in large-scale transboundary catchments:Sensitivity analysis and applicability in data-scarce basins.Journal of Geographical Sciences1-26.
[8] Yan Yan, Qian Xingying, Yan Pengbin & Yang Jie. Federated learning statistical prediction of location big data and differential privacy protection methods. Computer applications 1-12.
[9] Wenzhuo Gao,Fanghao Liu,Chengxuan Li,Mengyao Shi,Aiqing Lin,Yongjun Dong & Jingfu Guo.(2024).A portable terminal for acoustic monitoring and online recognition of bats with CNN-LSTM.Measurement Science and Technology(7),
[10] Xikun Wei,Guojie Wang,Paula Farina Grosser & Britta Schmalz.(2024).Using explainable artificial intelligence (XAI) methods to understand the nonlinear relationship between the Three Gorges Dam and downstream flood.Journal of Hydrology: Regional Studies101776.
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APA:
Min, W., Cheng, J., Niu, J., Hu, Z., He, Y., & Wang, R. (2024). Status and trend of China's e-commerce fresh market: Based on the research of Chengdu Zhengda Youxian. International Scientific Technical and Economic Research, 2(3), 63–68. http://www.istaer.online/index.php/Home/article/view/No.2466
GB/T 7714-2015:
Min Wei, Cheng Jun, Niu Jiaheng, Hu Zhicong, He Yunkai, Wang Ruoyao. Status and trend of China's e-commerce fresh market: Based on the research of Chengdu Zhengda Youxian[J]. International Scientific Technical and Economic Research, 2024, 2(3): 63–68. http://www.istaer.online/index.php/Home/article/view/No.2466
MLA:
Min, Wei, et al. "Status and trend of China's e-commerce fresh market: Based on the research of Chengdu Zhengda Youxian." International Scientific Technical and Economic Research, 2.3 (2024): 63-68. http://www.istaer.online/index.php/Home/article/view/No.2466
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