Shilling attack detection in recommender systems via selecting patterns analysis

Computer Science

• Attackers 100%
• User 80%
• Recommender Systems 80%
• Attack 60%
• Collaborative Filtering 40%
• Classification (Machine Learning) 20%
• Detection 20%
• Accuracy 20%
• Threat 20%
• Feature Extraction 20%
• Prior Knowledge 20%
• Detection Performance 20%
• Pattern Detection 20%