Research on e-commerce intelligent service based on Data Mining
Zhang Jianxi, Zhang Changfeng, Yu Huaizhi
MATEC Web of Conferences · 2018
doi:10.1051/matecconf/201817303012 (opens in a new tab)
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Abstract
With the rapid development of electronic commerce in China, a large amount of information data will be generated at every moment. How to excavate useful information is becoming an important problem In the big data age. Firstly, the smart service model of E-Commerce based on data mining was proposed, and user group mining, user interest mining, industry and domain knowledge mining and business association mining were used to bridge the gap between the big data application and requirements of smart service. Then the technical support system of E-Commerce data mining based on Hadoop platform was suggested to provide technical solution for implementation of smart service applications. And finally, the scenario knowledge recommendation service with the support of big data mining were discussed.
Abstract licence: CC BY
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