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Volumn , Issue , 2014, Pages 365-376

PTwitterRec: A privacy-preserving personalized tweet recommendation framework

Author keywords

Personalization; Privacy protection; Tweet recommendations

Indexed keywords

COLLABORATIVE FILTERING; DATA PRIVACY; ONLINE SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84984924020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2590296.2590304     Document Type: Conference Paper
Times cited : (7)

References (38)
  • 20
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, Y., Bell, R. and Volinsky, C. Matrix factorization techniques for recommender systems. Computer. 42, 8 (2009), 30-37.
    • (2009) Computer. , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 24
    • 84919085619 scopus 로고
    • An improved algorithm for computing logarithms over GF (p) and its cryptographic significance
    • Pohlig, S. and Hellman, M. An improved algorithm for computing logarithms over GF (p) and its cryptographic significance. Information Theory, IEEE Transactions on. 24, 1 (1978), 106-110.
    • (1978) Information Theory, IEEE Transactions On. , vol.24 , Issue.1 , pp. 106-110
    • Pohlig, S.1    Hellman, M.2
  • 25
    • 33745783127 scopus 로고    scopus 로고
    • Achieving private recommendations using randomized response techniques
    • Polat, H. and Du, W. Achieving private recommendations using randomized response techniques. Advances in Knowledge Discovery and Data Mining. (2006), 637-646.
    • (2006) Advances in Knowledge Discovery and Data Mining. , pp. 637-646
    • Polat, H.1    Du, W.2
  • 27
    • 46749122242 scopus 로고    scopus 로고
    • Privacy-preserving collaborative filtering using randomized perturbation techniques
    • Washington, DC, USA
    • Polat, H. and Du, W. Privacy-preserving collaborative filtering using randomized perturbation techniques. Proceedings of the 3rd IEEE International Conference on Data Mining (Washington, DC, USA, 2003), 625-628.
    • (2003) Proceedings of the 3rd IEEE International Conference on Data Mining , pp. 625-628
    • Polat, H.1    Du, W.2
  • 37
    • 84984889706 scopus 로고    scopus 로고
    • SVDFeature toolkit. http://svdfeature.apexlab.org/wiki/Main-Page
    • SVDFeature Toolkit
  • 38
    • 84892700483 scopus 로고    scopus 로고
    • Twitter statistics. http://www.statisticbrain.com/twitter-statistics/
    • Twitter Statistics


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.