文献类型：期刊文献

英文题名：Analysis and comparative of e-commerce personalized recommendation

作者：Zhang, Yan[1]

第一作者：张艳

通讯作者：Zhang, Yan

机构：[1] School of Business, Xinxiang University, Henan, China

第一机构：新乡学院商学院

年份：2014

卷号：6

期号：5

起止页码：1406-1409

外文期刊名：Journal of Chemical and Pharmaceutical Research

收录：EI(收录号：20143900069962);Scopus(收录号：2-s2.0-84907103088)

语种：英文

外文关键词：Association rules - Collaborative filtering - Information retrieval

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 compares the information retrieval, association rule, content-based filtering and collaborative filtering, four main recommendation technologies, and analyses 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 analyses the current domestic e-commerce personalized recommendation theory research and application status, finally proposes the challenges faced by e-commerce personalized recommendation domain. ? 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.