Detecting Anomalous Ratings in Collaborative Filtering Recommender Systems.
Zhihai YangZhongmin CaiPublished in: Int. J. Digit. Crime Forensics (2016)
Keyphrases
- collaborative filtering recommender systems
- detecting anomalous
- collaborative filtering
- recommender systems
- anomaly detection
- intrusion detection
- personalized recommendation
- item based collaborative filtering
- network traffic
- cold start problem
- matrix factorization
- intrusion detection system
- user preferences
- recommendation systems
- recommendation algorithms
- data mining
- web search
- text mining
- information overload
- test collection
- unsupervised learning