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Using Navigation to Improve Recommendations in Real-Time:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,

Wu, Chao-Yuan ; Alvino, Christopher V. ; Smola, Alexander J.. - p. 341-348 , 2016

Link: https://dl.acm.org/doi/10.1145/2959100.2959174

RT 
T1 <cTitle>Proceedings of the 10th ACM Conference on Recommender Systems</cTitle>: T1 <Title>Using Navigation to Improve Recommendations in Real-Time</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2959174&Exemplar=1&LAN=DE
				
A1 Wu, Chao-Yuan
A1 Alvino, Christopher V.
A1 Smola, Alexander J.
A1 Basilico, Justin
PB ACM
YR 2016
K1 latent variable models
K1 online inference
K1 personalization
K1 probabilistic graphical models
K1 real-time recommendations
K1 recommender systems
K1 user modeling
K1 user navigation modeling
K1 Information systems
K1 World Wide Web
K1 Web searching and information discovery
K1 Content ranking
K1 Personalization
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Learning in probabilistic graphical models
K1 Bayesian network models
K1 Maximum a posteriori modeling
K1 Latent variable models
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 HCI design and evaluation methods
K1 User models
SP 341
OP 348
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2959100.2959174
DO https://dl.acm.org/doi/10.1145/2959100.2959174
SF ELIB - SuUB Bremen

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