Defending shilling attacks in recommender systems using soft co-clustering.
Li YangWei HuangXinxin NiuPublished in: IET Inf. Secur. (2017)
Keyphrases
- recommender systems
- collaborative filtering
- product recommendation
- attack detection
- data sparsity
- ddos attacks
- collaborative filtering algorithms
- injection attacks
- matrix factorization
- user preferences
- countermeasures
- recommendation quality
- information theoretic
- trust aware
- information overload
- user profiles
- cold start problem
- categorical data
- recommendation systems
- malicious attacks
- nonnegative matrix tri factorization
- semi supervised
- clustering algorithm
- user profiling
- relational data
- cold start
- implicit feedback
- security threats
- security mechanisms
- user modeling
- watermarking algorithm
- malicious users
- simultaneous clustering
- collaborative recommender systems
- chosen plaintext
- denial of service attacks
- security risks
- high dimensional datasets
- security protocols
- user interests
- user feedback
- transfer learning
- text classification
- text mining