A Recommender System for Digital Newspaper Readers Based on Random Forest.
Enrique José Delahoz-DominguezRohemi Alfredo Zuluaga-OrtizAdel Mendoza-MendozaJey EscorciaFrancisco Moreira-VillegasPedro Oliveros-EussePublished in: CISIM (2022)
Keyphrases
- random forest
- recommender systems
- random forests
- decision trees
- feature set
- feature importance
- ensemble methods
- rotation forest
- fold cross validation
- ensemble learning
- computer vision
- multi label
- base classifiers
- decision tree learning algorithms
- neural network
- logistic regression
- class labels
- naive bayes
- small number
- information extraction
- feature selection