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Jointly modeling aspects, ratings and sentiments for movie ..:

, In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining,

Diao, Qiming ; Qiu, Minghui ; Wu, Chao-Yuan... - p. 193-202 , 2014

Link: https://dl.acm.org/doi/10.1145/2623330.2623758

RT 
T1 <cTitle>Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2623758&Exemplar=1&LAN=DE
				
A1 Diao, Qiming
A1 Qiu, Minghui
A1 Wu, Chao-Yuan
A1 Smola, Alexander J.
A1 Jiang, Jing
A1 Wang, Chong
PB ACM
YR 2014
K1 collaborative filtering
K1 integrated modeling
K1 sentiment analysis
K1 topic models
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Document filtering
K1 Information extraction
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Markov decision processes
K1 Learning paradigms
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
SP 193
OP 202
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2623330.2623758
DO https://dl.acm.org/doi/10.1145/2623330.2623758
SF ELIB - SuUB Bremen

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