Research on recommendation systems in the electronic commerce
暂无分享,去创建一个
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.
[1] Yufeng Qian,et al. Application of Collaborative Filtering Algorithm in Mathematical Expressions of User Personalized Information Recommendation , 2019, Int. J. Comput. Intell. Syst..
[2] Wang De-feng. Research on Chinese webpages classification based on k-nearest neighbour algorithm and relative hyperlinks , 2011 .
[3] Jinbiao Hou. Research on Distributed Data Mining in E-commerce Environment Based on Web Services and Mobile Agent , 2009, 2009 International Conference on Computational Intelligence and Natural Computing.