Ensemble methods for improving the performance of neighborhood-based collaborative filtering.
Alon SchclarAlexander TsikinovskyLior RokachAmnon MeiselsLiat AntwargPublished in: RecSys (2009)
Keyphrases
- ensemble methods
- neighborhood based collaborative filtering
- prediction accuracy
- random forests
- decision trees
- ensemble learning
- benchmark datasets
- random forest
- base classifiers
- machine learning methods
- generalization ability
- majority voting
- drifting concepts
- bootstrap sampling
- collaborative filtering
- multiple models
- imbalanced data
- ensemble classifier
- base learners
- ensemble feature selection
- genetic programming
- image classification
- machine learning
- feature set
- classifier ensemble
- learning algorithm