Research on personalized recommendation strategy and algorithm optimization on cloud computing platform

摘要：

　　Information overload is a key issue of the current network information retrieval, and personalized recommendation with special information filtering methods is an important ways and means to solve this problem.Based on the analysis of the common method of personalized recommendation,combined with the specific issues of employment recommendation, this article proposes the implementation methods of Mahout distributed personalized recommendation based on content and items.Compared with the current single target recommendation algorithm, the algorithm is more efficient and more effiective.Then the architectural design of personalized recommendation on the cloud computing platform is proposed,which has a good practical significance and reference value.

关键词： Personalized recommendation Cloud computing platform Distributed recommendation Information overload

作者: Xiang Li Mei Zhu Shunwen Liu

作者单位: School of Software,East China University of Technology, Nanchang 330013, China School of Software,East China University of Technology,Nanchang 330013, China

会议类型: 国际会议

会议名称: the 12th International Conference on Management of e-Commerce and e-Government( ICMeCG 2018) (第十二届电子商务与电子政务管理国际会议)

会议地点: 郑州

会议语种:英文

页码: 185-192

在线出版日期: 2018-09-21（万方平台首次上网日期，不代表论文的发表时间）