文献类型：会议论文

英文题名：The research of E-commerce personalized recommendation

作者：Zhang, Yan[1];Kuang, Tao[1]

第一作者：张艳

通讯作者：Zhang, Y[1]

机构：[1]Xinxiang Univ, Sch Econ & Management, Xinxiang, Henan, Peoples R China

第一机构：新乡学院商学院

通讯机构：[1]corresponding author), Xinxiang Univ, Sch Econ & Management, Xinxiang, Henan, Peoples R China.|[110712]新乡学院商学院;[11071]新乡学院;

会议论文集：International Conference on Mechatronics Engineering and Computing Technology (ICMECT)

会议日期：APR 09-10, 2014

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：E-commerce; recommendation; personalized system

摘要：With the rapid development of electronic commerce, the problem of "information overload" leads to the difficulty that user can't search the required goods effectively, personalized recommendation technology has been applied in e-commerce and popularization. By using the method of qualitative analysis of the current e-commerce site, the paper compare the information retrieval, association rule, content-based filtering and collaborative filtering four main recommendation technologies and analysis the advantages and disadvantages in the application layer, the recommendation technologies are introduced to review e-commerce research hot topic in the field of personalized recommendation, and analysis the current domestic e-commerce personalized recommendation theory research and application status, finally propose the challenges faced by e-commerce personalized recommendation domain.