Ensemble Recommendations via Thompson Sampling: an Experimental Study within e-Commerce.
Björn BrodénMikael HammarBengt J. NilssonDimitris ParaschakisPublished in: IUI (2018)
Keyphrases
- imbalanced data
- recommender systems
- neural network
- ensemble learning
- random sampling
- electronic commerce
- product recommendation
- monte carlo
- learning algorithm
- sampling algorithm
- sampling methods
- sampling strategy
- markov chain monte carlo
- training data
- training set
- sample size
- ensemble methods
- data sets
- feature selection
- ensemble pruning
- product information
- majority voting
- sampling rate
- recommendation systems
- random forests
- parameter space
- user preferences
- case study