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Limited knowledge shilling attacks in collaborative filtering systems

R Burke, B Mobasher, R Bhaumik

posted on 06 April 2010

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Recent research in recommender systems has shown that collaborative filtering algorithms are highly susceptible to attacks that insert biased profile data. Theoretical analyses and empirical experiments have shown that certain attacks can have a significant impact on the ...

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