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机译:ShAD-SEF: An Efficient Model for Shilling Attack Detection using Stacking Ensemble Framework in Recommender Systems
School of Computer and Systems Sciences, Jawaharlal Nehru University;
Department of Computer Science and Engineering;
Amity School of Engineering and Technology, Amity UniversityDepartment of Media and Educational Informatics, Faculty of Informatics, Eotvos Lorand UniversityFaculty of Information Technology, City University;
Attack models; Collaborative filtering; Ensemble model; Recommender system (RS); Shilling attack;