Research on recommendation systems in the electronic commerce

With economic development, e-commerce has entered our daily life, online shopping due to its convenience, rapidity and richness by the majority of young people's love, leading to e-commerce sales continue to rise, and its service gradually perfect. In order to compete in the fierce e-commerce platform, the opportunities for market segments are also becoming more and more important. A variety of e-commerce platforms aimed at user-specific behaviors have emerged. This paper introduces the function and related technology of recommendation system based on data mining in detail, and through the application of the recommendation system in the case of e-commerce, makes users understand the system in depth and make the e-commerce website more convenient and humane.