A novel classification-based shilling attack detection approach for multi-criteria recommender systems.
Tugba Turkoglu KayaEmre YalcinCihan KaleliPublished in: Comput. Intell. (2023)
Keyphrases
- multi criteria
- attack detection
- recommender systems
- product recommendation
- classification accuracy
- pattern recognition
- decision makers
- imprecise information
- multistage
- multi objective
- feature vectors
- feature extraction
- machine learning
- multi attribute
- support vector machine
- neural network
- data sparsity
- fuzzy logic
- high dimensional data
- unsupervised learning
- feature selection
- data mining