Improving the Shilling Attack Detection in Recommender Systems Using an SVM Gaussian Mixture Model.
Jasem M. AlostadPublished in: J. Inf. Knowl. Manag. (2019)
Keyphrases
- gaussian mixture model
- attack detection
- product recommendation
- recommender systems
- feature vectors
- collaborative filtering
- feature space
- mixture model
- support vector
- support vector machine svm
- maximum likelihood
- em algorithm
- expectation maximization
- support vector machine
- user preferences
- knn
- feature selection
- multistage
- recommendation algorithms
- data sparsity
- product information
- machine learning
- generative model
- dimensionality reduction
- user profiles
- user generated content
- bayesian networks