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 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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