Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization.
Arthur da Costa FortesMarcelo Garcia ManzatoPublished in: WebMedia (2014)
Keyphrases
- combining multiple
- ensemble learning
- recommender systems
- user feedback
- user interaction
- multiple classifiers
- user profiles
- user model
- collaborative filtering
- user preferences
- generalization ability
- ensemble methods
- personalized search
- user behavior
- user context
- random forest
- individual classifiers
- base classifiers
- fusion methods
- learning to rank
- feature selection
- ranking functions
- ensemble classifier
- support vector
- web search
- supervised learning
- decision trees