Detecting abnormal profiles in collaborative filtering recommender systems

Personalization collaborative filtering recommender systems (CFRSs) are the crucial components of popular E-commerce services. In practice, CFRSs are also particularly vulnerable to “shilling” attacks or “profile injection” attacks due to their openness. The attackers can inject well-designed attack...

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Veröffentlicht in:Journal of intelligent information systems 2017-06, Vol.48 (3), p.499-518
Hauptverfasser: Yang, Zhihai, Cai, Zhongmin
Format: Artikel
Sprache:eng
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