As the information resources available on the Internet are booming nowadays

personalized recommendation technique

which is an effective approach to ameliorate information overloading

has increasingly received attentions from researchers.Due to the native open nature of the Internet and driven by commercial motives

some malicious users attempt to influence the recommendation result via faking data

hoping to gain profits by manipulating recommendation.This paper proposes an anti-attack recommendation algorithm based on automatic trust establishment.Considering the similarities between user ratings

the proposed algorithm introduces a trust mechanism to obtain reliable recommendations through dynamically constructing and maintaining trusted references for users.Enormous experimental results obtained from real datasets reveal that the proposed algorithm could significantly improve both robustness and reliability of recommendation system

and meanwhile enhance the accuracy of recommendation to some extent.