Recommendation of Job Offers Using Random Forests and Support Vector Machines.
Jorge Martínez GilBernhard FreudenthalerThomas NatschlägerPublished in: EDBT/ICDT Workshops (2018)
Keyphrases
- random forests
- support vector
- logistic regression
- learning machines
- large margin classifiers
- flowshop
- random forest
- ensemble methods
- decision trees
- machine learning algorithms
- recommender systems
- identical machines
- support vector machine
- tree ensembles
- decision tree ensembles
- kernel function
- scheduling problem
- generalization ability
- cross validation
- classification accuracy
- ensemble learning
- feature selection
- learning algorithm
- loss function
- regression forests
- prediction accuracy