메뉴 건너뛰기




Volumn 6206 LNAI, Issue , 2010, Pages 3-15

Robustness analysis of model-based collaborative filtering systems

Author keywords

collaborative filtering; model based; recommender system; robustness

Indexed keywords

ATTACK MODEL; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING SYSTEMS; COMMERCIAL APPLICATIONS; CONVENTIONAL MEMORIES; FACTOR ANALYSIS; K-MEANS; MODEL-BASED; MODEL-BASED ALGORITHMS; RECOMMENDER SYSTEMS; ROBUSTNESS; ROBUSTNESS ANALYSIS;

EID: 78650204611     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17080-5_3     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 6
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Hofmann, T.: Latent semantic models for collaborative filtering. ACM Transactions on Internet Technology 22(1), 89-115 (2004)
    • (2004) ACM Transactions on Internet Technology , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 7
    • 74949088520 scopus 로고    scopus 로고
    • A survey of collaborative recommendation and the robustness of model-based algorithms
    • Jeff, R.D.B., Sandvig, J., Mobasher, B.: A survey of collaborative recommendation and the robustness of model-based algorithms. IEEE Data Engineering Bulletin 31(2), 3-13 (2008)
    • (2008) IEEE Data Engineering Bulletin , vol.31 , Issue.2 , pp. 3-13
    • Jeff, R.D.B.1    Sandvig, J.2    Mobasher, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.