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Implementation of a Comprehensive Service Platform for Cross-Border E-commerce Based on Java

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Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 136))

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Abstract

In recent years, as the application level of e-commerce in my country has deepened and the scale of the industry has expanded, cross-border e-commerce has gradually become a booming economic growth point. At the same time, with the rapid development of the Internet economy and the continuous maturity of information technology, advanced tools such as java have provided technical assistance for the development of comprehensive cross-border e-commerce services. Based on this, this article relies on the subject of “Java-based cross-border e-commerce integrated service platform design and implementation” for research. This article combines basic software such as Java, Oracle11g and IBMMQ to design the overall architecture of the platform. This article is aimed at administrators, merchants and consumers, and designed the main functional modules of the system. This paper introduces a collaborative filtering recommendation algorithm based on commodity attributes, and realizes the recommendation function of providing consumers with personalized commodities. Finally, this article conducts a stress test on the integrated service platform. Under the condition of more than 100–1000 users concurrently, the average response time of logging into the system is less than 2 s, and the average response time of successful product search is less than 3 s. It can be seen that the business process of the Java-based cross-border e-commerce integrated service platform is smooth, which satisfies the simultaneous login and execution of multiple users.

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Correspondence to Jiang Yu .

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Yu, J. (2022). Implementation of a Comprehensive Service Platform for Cross-Border E-commerce Based on Java. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-05237-8_5

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