Unsupervised approach for detecting shilling attacks in collaborative recommender systems based on user rating behaviours.
Fuzhi ZhangZhoujun LingShilei WangPublished in: IET Inf. Secur. (2019)
Keyphrases
- user ratings
- collaborative recommender systems
- injection attacks
- data sparsity
- collaborative filtering algorithms
- collaborative filtering
- prediction accuracy
- recommender systems
- matrix factorization
- cold start
- product recommendation
- opinion mining
- cold start problem
- semi supervised
- user preferences
- topic modeling
- countermeasures