Research on E-commerce Content Recommendation System Based on Fuzzy ART

摘要：

　　With the popularity of the Internet and the improvement of peoples needs, the problem of information overload corresponding to e-commerce is very prominent. In this context, an effective e-commerce recommendation system is developed to provide personalized recommendation services for users, so as to provide service guarantee for users to find the products they need. The wide application of recommendation system provides good technical support for convenient life, but there are many problems and challenges behind the rise of this technology. To improve these problems is to promote the development of recommendation system towards a more humane direction. On this basis, this paper focuses on the research of e-commerce content recommendation system based on Fuzzy ART, which provides basic ideas for the optimization of commodity recommendation services.

关键词： Fuzzy ART E-commerce Recommendation System Recommendation Algorithms

作者: Guo Xin Xiao Min

作者单位: Zhixing College of Hubei University, Hubei, Wuhan, 430011, China Taishan University, Taishan, Shandong, 271000, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 462-466

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）