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An Insurance Recommendation System Using Bayesian Networks:

, In: Proceedings of the Eleventh ACM Conference on Recommender Systems,

Qazi, Maleeha ; Fung, Glenn M. ; Meissner, Katie J.. - p. 274-278 , 2017

Link: https://dl.acm.org/doi/10.1145/3109859.3109907

RT 
T1 <cTitle>Proceedings of the Eleventh ACM Conference on Recommender Systems</cTitle>: T1 <Title>An Insurance Recommendation System Using Bayesian Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3109907&Exemplar=1&LAN=DE
				
A1 Qazi, Maleeha
A1 Fung, Glenn M.
A1 Meissner, Katie J.
A1 Fontes, Eduardo R.
PB ACM
YR 2017
K1 bayesian networks
K1 deployed system
K1 insurance domain
K1 recommender systems
K1 structure learning
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Learning in probabilistic graphical models
K1 Bayesian network models
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Information systems applications
K1 Data mining
K1 Collaborative filtering
K1 Decision support systems
K1 Expert systems
K1 World Wide Web
K1 Web searching and information discovery
K1 Personalization
K1 Factorization methods
K1 Non-negative matrix factorization
K1 Learning paradigms
K1 Supervised learning
K1 Structured outputs
K1 Unsupervised learning
SP 274
OP 278
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3109859.3109907
DO https://dl.acm.org/doi/10.1145/3109859.3109907
SF ELIB - SuUB Bremen

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