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Volumn , Issue , 2007, Pages 105-111

Robustness of collaborative recommendation based on association rule mining

Author keywords

Association rule mining; Collaborative filtering; Data mining; Recommender systems; Security

Indexed keywords

ASSOCIATION RULE MINING; COLLABORATIVE FILTERING; RECOMMENDER SYSTEMS;

EID: 42149111681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1297231.1297249     Document Type: Conference Paper
Times cited : (114)

References (15)
  • 5
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning Journal, 42(1):177-196, 2001.
    • (2001) Machine Learning Journal , vol.42 , Issue.1 , pp. 177-196
    • Hofmann, T.1
  • 10
    • 35348969366 scopus 로고    scopus 로고
    • Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness
    • B. Mobasher, R. Burke, R. Bhaumik, and C. Williams. Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Transactions on Internet Technology, 7(4), 2007.
    • (2007) ACM Transactions on Internet Technology , vol.7 , Issue.4
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.