The Application of Secure Two-Party Computation in Collaborative Filtering

摘要：

　　online shopping is becoming increasingly popular; two competing companies may also cooperate in certain areas in order to gain more profits.For example,two e-commerce sites hope to provide users with better recommendation,the traditional approach is that both sides share each others ratings data-base.Obviously,this way cant protect privacy of both data.This paper improves recommendation algorithm for the privacy concerns of Two-Party to the specified item rating prediction in the case of collaborative computation based on the algorithm UICF.It is a more effective way to the application of privacy-preserving of collaborative computation involved two-party in practice.

关键词： recommendation algorithm collaborative filtering privacy-preserving secure two-party computation homomorphic encryption

作者: Fei Liang Hongwei Liu

作者单位: School of Management Guangdong University of Technology Guangzhou,P.R.China

会议类型: 国际会议

会议名称: 2012 IEEE 5th International Conference on Management Engineering & Technology of Statistics (第五届(2012)管理工程与统计技术国际学术研讨会(ICMETS2012))

会议地点: 青岛

会议语种:英文

页码: 744-747

在线出版日期: 2012-07-20（万方平台首次上网日期，不代表论文的发表时间）