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Judging similarity : a user-centric study of related ite..:

, In: Proceedings of the 12th ACM Conference on Recommender Systems,

Yao, Yuan ; Harper, F. Maxwell - p. 288-296 , 2018

Link: https://dl.acm.org/doi/10.1145/3240323.3240351

RT 
T1 <cTitle>Proceedings of the 12th ACM Conference on Recommender Systems</cTitle>: T1 <Title>Judging similarity				: a user-centric study of related item recommendations</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3240351&Exemplar=1&LAN=DE
				
A1 Yao, Yuan
A1 Harper, F. Maxwell
PB ACM
YR 2018
K1 collaborative filtering
K1 recommender systems
K1 related item recommendations
K1 rule mining
K1 similarity metrics
K1 user survey
K1 word2vec
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 HCI design and evaluation methods
K1 User studies
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Collaborative filtering
K1 Retrieval models and ranking
K1 Similarity measures
SP 288
OP 296
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3240323.3240351
DO https://dl.acm.org/doi/10.1145/3240323.3240351
SF ELIB - SuUB Bremen

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