26 search results - page 1 / 6 » Classification features for attack detection in collaborativ... |
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
RECSYS
2009
ACM
14 years 1 months ago
2009
ACM
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
WIDM
2005
ACM
14 years 2 months ago
2005
ACM
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...