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1 Ergebnisse
1
Addressing Popularity Bias in Recommender Systems: An Explo..:
, In:
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
,
Klimashevskaia, Anastasiia
;
Elahi, Mehdi
;
Trattner, Christoph
- p. 7-11 , 2023
Link:
https://dl.acm.org/doi/10.1145/3563359.3597409
RT T1 <cTitle>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</cTitle>: T1 <Title>Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3597409&Exemplar=1&LAN=DE A1 Klimashevskaia, Anastasiia A1 Elahi, Mehdi A1 Trattner, Christoph PB ACM YR 2023 K1 Beyond accuracy K1 Evaluation K1 Recommender systems K1 Self-supervised learning K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Learning from implicit feedback K1 World Wide Web K1 Web searching and information discovery K1 Personalization SP 7 OP 11 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3563359.3597409 DO https://dl.acm.org/doi/10.1145/3563359.3597409 SF ELIB - SuUB Bremen
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