National Natural Science Foundation of China under Grant No.61379116,Natural Science Foundation of Hebei Province under Grant No.F2015203046 and No.F2013203124,Key Program of Research on Science and Technology of Higher Education Institutions of Hebei Province under Grant No.ZH2012028
The existing collaborative recommendation algorithms have lower robustness against shilling attacks.With this problem in mind,in this paper we propose a robust collaborative recommendation algorithm based on k-distanc...