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Volumn 5456 LNCS, Issue , 2009, Pages 111-125

Strategies for effective shilling attacks against recommender systems

Author keywords

Collaborative filtering; Recommender systems; Shilling attacks

Indexed keywords

ATTACK MODEL; ATTACK STRATEGIES; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING SYSTEMS; NEW APPROACHES; RECOMMENDER SYSTEMS; SHILLING ATTACKS; SHOW THROUGH;

EID: 67650236547     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01718-6_8     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 2
    • 85015559680 scopus 로고    scopus 로고
    • An Algorithm Framework for Performing Collaborative Filtering
    • ACM, New York
    • Herlocker, J., Konstan, J., Borchers, A., Riedl, J.: An Algorithm Framework for Performing Collaborative Filtering. In: Proceedings of SIGIR, pp. 77-87. ACM, New York (1999)
    • (1999) Proceedings of SIGIR , pp. 77-87
    • Herlocker, J.1    Konstan, J.2    Borchers, A.3    Riedl, J.4
  • 8
    • 35348969366 scopus 로고    scopus 로고
    • Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness
    • Mobasher, B., Burke, R., Bhaumik, R., Williams, C.: Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness. ACM Transactions on Internet Technology 7, 23, 1-38 (2007)
    • (2007) ACM Transactions on Internet Technology , vol.7 , Issue.23 , pp. 1-38
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.