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Ensemble Recommendations via Thompson Sampling : an Expe..:

, In: 23rd International Conference on Intelligent User Interfaces,

Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J.. - p. 19-29 , 2018

Link: https://dl.acm.org/doi/10.1145/3172944.3172967

RT 
T1 <cTitle>23rd International Conference on Intelligent User Interfaces</cTitle>: T1 <Title>Ensemble Recommendations via Thompson Sampling				: an Experimental Study within e-Commerce</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3172967&Exemplar=1&LAN=DE
				
A1 Brodén, Björn
A1 Hammar, Mikael
A1 Nilsson, Bengt J.
A1 Paraschakis, Dimitris
PB ACM
YR 2018
K1 Thompson sampling
K1 bandit ensembles
K1 e-commerce recommender systems
K1 reinforcement learning
K1 session-based recommendations
K1 streaming recommendations
K1 Information systems
K1 World Wide Web
K1 Web applications
K1 Electronic commerce
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Sequential decision making
K1 Learning settings
K1 Learning from implicit feedback
K1 Information systems applications
K1 Data mining
K1 Collaborative filtering
K1 Machine learning algorithms
K1 Ensemble methods
K1 Information retrieval query processing
SP 19
OP 29
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3172944.3172967
DO https://dl.acm.org/doi/10.1145/3172944.3172967
SF ELIB - SuUB Bremen

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