Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...
In the age of information explosion, recommendation system has been proved effective to cope with information overload in ecommerce area. However, unscrupulous producers shill the...
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
Abstract. Online recommender systems are a common target of attack. Existing research has focused on automated manipulation of recommender systems through the creation of shill acc...
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...