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Volumn 55, Issue , 2016, Pages 311-320

An algorithm for efficient privacy-preserving item-based collaborative filtering

Author keywords

Collaborative filtering; Efficiency; Item based; Privacy

Indexed keywords

ALGORITHMS; BEHAVIORAL RESEARCH; CRYPTOGRAPHY; DATA PRIVACY; EFFICIENCY; PERTURBATION TECHNIQUES; SOCIAL NETWORKING (ONLINE);

EID: 84954204776     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2014.11.003     Document Type: Article
Times cited : (107)

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    • Aïmeur, E.1    Brassard, G.2    Fernandez, J.M.3    Serge Mani Onana, F.4
  • 16
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the State-of-the-Art and possible extensions
    • Gediminas Adomavicius, and Alexander Tuzhilin Toward the next generation of recommender systems: A survey of the State-of-the-Art and possible extensions IEEE Trans. Knowl. Data Eng. 17 6 2005 734 749
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 17
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • Marko Balabanović, and Yoav Shoham Fab: Content-based, collaborative recommendation Commun. ACM 40 1997 66 72
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    • Balabanović, M.1    Shoham, Y.2
  • 20
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    • Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents
    • Manos Papagelis, and Dimitris Plexousakis Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents Eng. Appl. Artif. Intell. 18 7 2005 781 789
    • (2005) Eng. Appl. Artif. Intell. , vol.18 , Issue.7 , pp. 781-789
    • Papagelis, M.1    Plexousakis, D.2
  • 22
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    • Oded Goldreich, Secure Multi-Party Computation. Final (incomplete) Draft, Version 1.4.
    • (2002) Secure Multi-Party Computation
  • 23
    • 84954373695 scopus 로고    scopus 로고
    • Intel Corporation. Intel 64 and IA-32 Architectures Optimization Reference Manual. March 2014.
    • Intel Corporation. Intel 64 and IA-32 Architectures Optimization Reference Manual. http://www.intel.com/content/www/us/en/architecture-and-technology/64-ia-32-architectures-optimization-manual.html. March 2014.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.