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Volumn , Issue , 2007, Pages 1-8

Private distributed collaborative filtering using estimated concordance measures

Author keywords

Correlation; Privacy; Recommender systems

Indexed keywords

CORRELATION METHODS; DATA PRIVACY; USER INTERFACES;

EID: 42149132726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1297231.1297233     Document Type: Conference Paper
Times cited : (59)

References (15)
  • 2
    • 42149158079 scopus 로고    scopus 로고
    • Last.fm website, http://www.last.fm, 2007.
    • (2007) Last.fm website
  • 7
    • 46749122242 scopus 로고    scopus 로고
    • Privacy-Preserving Collaborative Filtering using Randomized Perturbation Techniques
    • Melbourne, FL, November
    • H. Polat and W. Du. Privacy-Preserving Collaborative Filtering using Randomized Perturbation Techniques. In The Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, FL, November 2003.
    • (2003) The Third IEEE International Conference on Data Mining (ICDM'03)
    • Polat, H.1    Du, W.2
  • 8
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and Y. York. Amazon.com recommendations: Item-to-item collaborative filtering. In IEEE Internet Computing, pages 76-80, 2003.
    • (2003) IEEE Internet Computing , pp. 76-80
    • Linden, G.1    Smith, B.2    York, Y.3
  • 10
    • 58049174287 scopus 로고    scopus 로고
    • Netflix prize, http://www.netfl.ixprize.com, 2007.
    • (2007) Netflix prize


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.