The Influence of Feature Selection on Job Clustering for an E-recruitment Recommender System.
Joel J. S. JuniorFabrício Gomes VilasbôasLeandro Nunes de CastroPublished in: ICAISC (2) (2020)
Keyphrases
- feature selection
- recommender systems
- clustering algorithm
- unsupervised feature selection
- unsupervised learning
- hierarchical clustering
- k means
- data mining and pattern recognition
- high dimensionality
- text categorization
- clustering method
- outlier detection
- data clustering
- document clustering
- information theoretic
- self organizing maps
- multi class
- classification accuracy
- information technology
- feature weighting
- feature selection algorithms
- information filtering
- text classification
- constrained clustering
- feature extraction
- data pre processing
- machine learning
- product recommendation
- information systems
- class separability
- selecting features
- discriminative features
- matrix factorization
- selected features
- fuzzy clustering
- support vector
- cluster analysis
- data points
- data mining
- user preferences
- mutual information