Novel Approach Against Reverse Bandwagon Profile Inject Attack in Recommender Systems
Due to the simplicity and high recommending quality,collaborative filtering algorithms are the most successful recommender techniques and wildly used in e-commerce recommender systems.However,such systems are vulnerable to profile inject attack which is employed by inserting biased profiles into systems in order to influence the recommendations.In this paper,we propose a novel method against reverse bandwagon profile inject attack model.Our method is basing the standard collaborative filtering algorithms.Experiment results show that our method has better performance against reverse bandwagon attack model.
Collaborative filtering Recommender system Reverse bandwgon Trust-based CF algorithm
Xiao-hong Liao Ping-hua Chen
Research & Develop Center, Faculty of Computer, Guangdong University of Technology,Guangzhou 510006, China
国际会议
太原
英文
247-250
2013-01-13（万方平台首次上网日期，不代表论文的发表时间）