A secure and efficient framework for privacy preserving social recommendation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9313, Issue , 2015, Pages 781-792

  Liu, Shushu ^a,b   Liu, An ^a,b   Liu, Guanfeng ^a,b   Li, Zhixu ^a,b   Xu, Jiajie ^a,b   Zhao, Pengpeng ^a,b   Zhao, Lei ^a,b  

^a SOOCHOW UNIVERSITY   (China)

^b Collaborative Innovation Center of Novel Software Technology and Industrialization ^*  (China)

Author keywords

Privacy preserving; Recommender system; Secure two party computation; Social recommendation

Indexed keywords

COLLABORATIVE FILTERING; CRYPTOGRAPHY; DATA PRIVACY; SOCIAL NETWORKING (ONLINE);

COLD START PROBLEMS; EMPIRICAL STUDIES; PAILLIER CRYPTOSYSTEM; PRIVACY LEGISLATION; PRIVACY PRESERVING; REAL APPLICATIONS; SECURE TWO-PARTY COMPUTATIONS; SOCIAL RECOMMENDATION;

RECOMMENDER SYSTEMS;

EID: 84950257886     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-25255-1_64     Document Type: Conference Paper

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