基于电商平台的智能推荐算法研究

Research on the Intelligent Recommendation Algorithm Based on E-business Platform

随着网络科技的快速发展,网民数量的迅速增加,电子商务服务也随之不断发展,网购的用户和商品的种类也日益增加。为提高电商们的销售水平,提高网购平台的交易数目,也为能让用户们更快更好地获得需要或喜欢的商品,这些电商平台大都采用一定的智能推荐算法完成。本文将介绍电商平台常用的一些推荐算法并分析推荐算法所产生的问题和应对方法。

With the rapid development of network technology and the rapid increase of the number of Internet users,e-business services also continue to develop, and the types of online shopping users and goods are also increasing. In order to improve the sales level of e-business, increase the number of transactions on the online shopping platform, and enable users to obtain the goods they need or like faster and better, most of these e-business platforms use certain intelligent recommendation algorithms. This paper will introduce some used commonly the recommendation algorithms on e-business platforms, and analyze the problems and countermeasures caused by recommendation algorithms.