Research on e-commerce precision marketing algorithm from the perspective of big data

Abstract

With the rapid development of society, the scale of Internet economy is expanding, and the fi eld of e-commerce is also
showing a trend of explosion. The following is a large surge in Internet users. The source of these data is far from being processed by human
resources. At the same time, it also poses new challenges to e-commerce marketing. Therefore, this paper mainly combines clustering
algorithm and other contents to apply to e-commerce marketing data processing, and combines genetic algorithm to optimize clustering, so
as to process the huge e-commerce data information database, fully explore the existing commercial value, achieve accurate marketing of
goods, and show the marketing value of goods.