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View all- Ma HGao MWei FWang ZJiang FZhao ZYang Z(2024)Stealthy attack on graph recommendation systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.124476255:PBOnline publication date: 18-Oct-2024
Collaborative filtering recommender systems (CFRSs) have already been proved effective to cope with the information overload problem since they merged in the past two decades. However, CFRSs are highly vulnerable to shilling or profile injection ...
Recommendation systems (RS) are crucial for alleviating the information overload problem. Due to its pivotal role in guiding users to make decisions, unscrupulous parties are lured to launch attacks against RS to affect the decisions of normal users and ...
Literature survey shows that the recommendation systems have been largely adapted and evaluated in various domains. Due to low performances from various cyber attacks, the adoption of recommender system is in the initial stage of defense systems. ...
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