βP: A novel approach to filter out malicious rating profiles from recommender systems.
Chen-Yao ChungPing-Yu HsuShih-Hsiang HuangPublished in: Decis. Support Syst. (2013)
Keyphrases
- recommender systems
- user profiles
- collaborative filtering
- injection attacks
- personal preferences
- recommendation quality
- user preferences
- information filtering
- matrix factorization
- user profiling
- netflix prize
- collaborative filtering recommender systems
- recommendation systems
- rating prediction
- user model
- user ratings
- cold start problem
- information overload
- noise reduction
- trust aware
- malicious attacks
- personalized recommendation
- collaborative recommendation
- cold start
- noise removal
- malicious code
- filtering algorithm
- malicious behavior
- median filter
- user interests
- user feedback
- data sparsity
- information retrieval
- user modeling
- detect malicious
- collaborative recommender systems
- image processing