Using Genre Interest of Users to Detect Profile Injection Attacks in Movie Recommender Systems.
Ghazaleh AghiliMehdi ShajariShahram KhadiviMohammad Amin MoridPublished in: ICMLA (1) (2011)
Keyphrases
- injection attacks
- recommender systems
- collaborative recommender systems
- collaborative filtering
- user profiles
- information overload
- user ratings
- cold start
- matrix factorization
- recommendation systems
- user preferences
- user model
- information filtering
- cold start problem
- recommendation quality
- user profiling
- sql injection
- active user
- end users
- database
- data sparsity
- personalized recommendation
- recommendation algorithms
- user interests
- user feedback
- user interaction