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《Acta Electronica Sinica》 2009-01
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Research on Privacy-Preserving Two-Party Collaborative Filtering Recommendation

ZHANG Feng1,2,SUN Xue-dong1,CHANG Hui-you1,ZHAO Gan-sen1 (1.Software School,Sun Yat-sen University,Guangzhou,Guangdong 510275,China;2.Guangdong Key Laboratory of Information Security Technology,Sun Yat-sen University,Guangzhou,Guangdong 510275,China)  
Privacy-preserving collaborative filtering aims at protecting participating parties' privacy while providing high-quality recommendations efficiently.In the case of the number of the participating parties is greater than 2,a protocol,employing commutative encryption as its major privacy-preserving technique,has been devised to address the issue of rating a specific item in scenarios with distributed data storage,which is a key challenge in privacy-preserving collaborative filtering recommendation in that scenarios.However,the protocol does not work when the number of the participating parties is exactly 2.Employing secure comparison and secure dot product as its fundamental security infrastructure,we design a privacy-preserving two-party collaborative computing protocol to address the challenge.This protocol produces the same results as the traditional memory-based collaborative filtering recommender systems.Based on secure multi-party computation theory and simulation paradigm,the protocol's security is proved.The protocol's computation complexity and communication cost are examined as well.
【Fund】: 广东省自然科学基金重点项目(No.05100302);; 广东省信息安全技术重点实验室开放基金;; 中山大学青年教师科研启动基金(No.1131014)
【CateGory Index】: TP311.13
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 LUO Yong-long,HUANG Liu-sheng,JING Wei-wei,YAO Yi-fei,CHEN Guo-liang (Department of Computer Science,University of Science and Technology of China,Hefei,Anhui 230027,China;National High Performance Computing Center at Hefei,Hefei,Anhui 230027,China);An Algorithm for Privacy-preserving Boolean Association Rule Mining[J];Acta Electronica Sinica;2005-05
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LUO Yong-long1,2,HUANG Liu-sheng1,XU Wei-jiang1,JING Wei-wei1(1.Department of Computer Science,University of Science and Technology of China,Hefei,Anhui 230027,China;2.Department of Computer Science,Anhui Normal University,Wuhu,Anhui 241000,China);A Protocol for Privacy-Preserving Intersect-Determination of Two Polygons[J];Acta Electronica Sinica;2007-04
2 ZHU Si-zheng1,CHEN Shi-ping2 (1.School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;2.Center of Network,University of Shanghai for Science and Technology,Shanghai 200093,China);Improved method of privacy-preserving association rule mining[J];Journal of University of Shanghai for Science and Technology;2009-01
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8 ZHONG Bo, ZHANG Yuanping (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050);An Algorithm for Privacy-preserving Ordinal Association Rule Mining[J];Science Technology and Engineering;2006-24
9 YUAN Ying,LIU Guo-hua,ZHANG Yu,LI Ying (College of Information Engineering and Science,Yanshan University,Qinhuangdao 066004);Sensitive Information Retrieval Method with Minimal Information Sharing[J];Computer Engineering;2009-16
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【Secondary Citations】
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1 LUO Wen-Jun LI Xiang (Institute of Computer Science, Guizhou University, Guiyang 550025);The Secure Multi-Party Protocol of Matrix Product and Its Application[J];Chinese Journal of Computers;2005-07
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