Abstract
As a derivative and transformation of traditional e-commerce, social e-commerce mine business information and user relationships through the networks, establish some models to provide personalized e-commerce services for consumers, which has become an important development direction. This paper summarizes the definition of social e-commerce through reference review, and compares the characteristics of social and traditional e-commerce, and deepens the understanding of social e-commerce business mode. Based on the analysis of the data of the article pushed by Jingdong WeChat public account, mining the marketing strategy of social e-commerce, which has certain significance for the actual social e-commerce operation.
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References
Jascanu & Nicolau marketing strategy analysis based on social media. In: 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC 2014). Atlantis Press (2014)
Nan, W.: Social E-commerce: monetizing social media, Hamburg, Germany. Syzygy Deutschland Gmbh 38(4), 88–99 (2012)
Li, Y., et al.: Deriving value from social commerce networks. J. Mark. Res. 47(2), 215–228 (2010)
Ganjin, Z.: Social commerce: looking back and forward. Proc. Am. Soc. Inf. Sci. Technol. 48(1), 1–10 (2011)
Zhu, X., et al.: Research on social commerce in web 2.0 environment. In: 2011 International Conference on E-business and E-Government (ICEE) (2011)
Fisher, S.: Social commerce camp-killer social commerce experience (2010)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Mag. 17(3), 37–54 (1996)
Kim, J., et al.: Segmenting the market of West Australian senior tour fists basing an artificial neural network. Tour. Manag. 24(1), 25–34 (2003)
Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11, 341–356 (1982)
Morwitz, G.V., Schmittlein, D.: Using segmentation to improve sales forecasts based on purchase intent: which “indenders” actually buy. J. Mark. Res. 29, 391–405 (1992)
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Tang, Q., Li, Z. (2021). Social E-Commerce and Marketing Strategy Based on Data Analysis. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_77
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