Titel

Merkliste
1 Ergebnisse

A Bandit-Based Ensemble Framework for Exploration/Exploitat..:

Brodén, Björn ; Hammar, Mikael ; Nilsson, Bengt J..
ACM Transactions on Interactive Intelligent Systems (TiiS). 10 (2019) 1 - p. 1-32 , 2019

Link: https://dl.acm.org/doi/10.1145/3237187

RT Journal
T1 <Title>A Bandit-Based Ensemble Framework for Exploration/Exploitation of Diverse Recommendation Components				: An Experimental Study within E-Commerce</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3237187&Exemplar=1&LAN=DE
				
A1 Brodén, Björn
A1 Hammar, Mikael
A1 Nilsson, Bengt J.
A1 Paraschakis, Dimitris
PB ACM
YR 2019
SN 2160-6455
SN 2160-6463
K1 E-commerce recommender systems
K1 Thompson Sampling
K1 multi-arm bandit ensembles
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
JF ACM Transactions on Interactive Intelligent Systems (TiiS)
VO 10
IS 1
SP 1
OP 32
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3237187
DO https://dl.acm.org/doi/10.1145/3237187
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)