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Non-popular Items for Accurate & Diverse Linear Auto-Encodi..:
, In:
Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval
,
Khawar, Farhan
;
Roegiest, Adam
- p. 98-102 , 2022
Link:
https://dl.acm.org/doi/10.1145/3539813.3545132
RT T1 <cTitle>Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval</cTitle>: T1 <Title>Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3545132&Exemplar=1&LAN=DE A1 Khawar, Farhan A1 Roegiest, Adam PB ACM YR 2022 K1 collaborative filtering K1 implicit feedback K1 linear auto-encoders K1 recommender systems K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Information systems applications K1 Data mining K1 Collaborative filtering SP 98 OP 102 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539813.3545132 DO https://dl.acm.org/doi/10.1145/3539813.3545132 SF ELIB - SuUB Bremen
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