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Volumn , Issue , 2005, Pages 67-74

Preventing shilling attacks in online recommender systems

Author keywords

Collaborative filtering; Recommender systems; Shilling attacks; Web applications

Indexed keywords

COLLABORATIVE FILTERING TECHNIQUES; HIGH QUALITY; INFORMATION OVERLOADS; ONLINE RECOMMENDER SYSTEMS; PERSONALIZED RECOMMENDATION; RATING PATTERN; SHILLING ATTACKS; WEB APPLICATION;

EID: 84876544258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1097047.1097061     Document Type: Conference Paper
Times cited : (279)

References (15)
  • 5
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7(1): 76-80, 2003.
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 6
    • 3843049042 scopus 로고    scopus 로고
    • Pocketlens: Toward a personal recommender system
    • B. N. Miller, J. A. Konstan, and J. Riedl. Pocketlens: Toward a personal recommender system. ACM Trans. Inf. Syst., 22(3): 437-476, 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.3 , pp. 437-476
    • Miller, B.N.1    Konstan, J.A.2    Riedl, J.3
  • 10
    • 46749122242 scopus 로고    scopus 로고
    • Privacy-preserving collaborative filtering using randomized perturbation techniques
    • Washington, DC, USA IEEE Computer Society
    • H. Polat and W. Du. Privacy-preserving collaborative filtering using randomized perturbation techniques. In ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining, page 625, Washington, DC, USA, 2003. IEEE Computer Society.
    • (2003) ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining , pp. 625
    • Polat, H.1    Du, W.2
  • 13
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In World Wide Web, pages 285-295, 2001.
    • (2001) World Wide Web , pp. 285-295
    • Sarwar, B.M.1    Karypis, G.2    Konstan, J.A.3    Reidl, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.