This work is supported by the National Natural Science Foundation of China (No.71072172, No.61103229, No.60003047), Industry Projects in the Jiangsu Science & Technology Pillar Program (No.BE2011198), Jiangsu Provincial Key Laboratory of Network and Information Security (Southeast University) (No.BM2003201) and the Program of Natural Science Foundation of Zhejiang Province (No.Y1090165, No.Yll10644, No.Yll10969).
Recommender systems form an essential part of e-business systems. Collaborative filtering (CF), a widely used technique by recommender systems, performs poorly for cold start users and is vulnerable to shilling atta...