31 search results - page 2 / 7 » A Survey of Collaborative Recommendation and the Robustness ... |
I3E
2008
13 years 7 months ago
2008
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
ECWEB
2007
Springer
13 years 11 months ago
2007
Springer
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
WEBI
2009
Springer
14 years 2 days ago
2009
Springer
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
KDD
2006
ACM
14 years 5 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...
SIGIR
2010
ACM
13 years 9 months ago
2010
ACM
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...