Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods.
Frederico Araújo DurãoBruno Souza CabralMarcelo G. ManzatoArthur F. Da CostaPublished in: SEKE (2018)
Keyphrases
- user interaction
- ensemble methods
- user feedback
- multiple models
- random forests
- user behavior
- prediction accuracy
- decision trees
- user model
- user input
- bootstrap sampling
- machine learning methods
- base classifiers
- ensemble learning
- user studies
- web search
- benchmark datasets
- ranking algorithm
- classifier ensemble
- pairwise
- interactive segmentation
- user profiles
- user preferences
- learning to rank
- generalization ability
- recommender systems
- user interface
- online video
- neural network