21 search results - page 1 / 5 » Attacks and Remedies in Collaborative Recommendation |
EXPERT
2007
13 years 7 months ago
2007
AAAI
2006
13 years 9 months ago
2006
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
AICS
2009
13 years 5 months ago
2009
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
KDD
2006
ACM
14 years 8 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...
DEBU
2008
13 years 7 months ago
2008
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...