HySAD: A semi-supervised hybrid shilling attack detector for trustworthy product recommendation

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 985-993

  Wu, Zhiang ^a   Wu, Junjie ^b   Cao, Jie ^a   Tao, Dacheng ^c  

^a NANJING UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b BEIHANG UNIVERSITY   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

hybrid shilling attack; naive bayes; recommendation systems; semi supervised learning

Indexed keywords

ATTACK DETECTION; DATA SETS; HYBRID SHILLING ATTACK; IN-DEPTH ANALYSIS; NAIVE BAYES; ONLINE PRODUCTS; PRODUCT RECOMMENDATION; PRODUCT REVIEWS; REAL-LIFE APPLICATIONS; REAL-WORLD APPLICATION; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; USER PROFILE;

CLASSIFIERS; DATA MINING; FILLERS; ONLINE SYSTEMS; SUPERVISED LEARNING;

RECOMMENDER SYSTEMS;

EID: 84866039288     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339684     Document Type: Conference Paper

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