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Towards Conversational Recommender Systems:

, In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,

Christakopoulou, Konstantina ; Radlinski, Filip ; Hofmann, Katja - p. 815-824 , 2016

Link: https://dl.acm.org/doi/10.1145/2939672.2939746

RT 
T1 <cTitle>Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Towards Conversational Recommender Systems</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2939746&Exemplar=1&LAN=DE
				
A1 Christakopoulou, Konstantina
A1 Radlinski, Filip
A1 Hofmann, Katja
PB ACM
YR 2016
K1 cold-start
K1 online learning
K1 recommender systems
K1 Information systems
K1 World Wide Web
K1 Web searching and information discovery
K1 Personalization
K1 Web mining
K1 Web log analysis
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Active learning
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Learning settings
K1 Active learning settings
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Collaborative filtering
K1 Design and analysis of algorithms
K1 Online algorithms
K1 Online learning algorithms
K1 Online learning settings
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Web search engines
K1 Artificial intelligence
SP 815
OP 824
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2939672.2939746
DO https://dl.acm.org/doi/10.1145/2939672.2939746
SF ELIB - SuUB Bremen

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