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1 Ergebnisse
1
A Field Test of Bandit Algorithms for Recommendations: Unde..:
, In:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
,
Leqi, Liu
;
Zhou, Giulio
;
Kilinc-Karzan, Fatma
.. - p. 1-16 , 2023
Link:
https://dl.acm.org/doi/10.1145/3544548.3580670
RT T1 <cTitle>Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems</cTitle>: T1 <Title>A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3580670&Exemplar=1&LAN=DE A1 Leqi, Liu A1 Zhou, Giulio A1 Kilinc-Karzan, Fatma A1 Lipton, Zachary A1 Montgomery, Alan PB ACM YR 2023 K1 multi-armed bandits K1 preference dynamics K1 recommender systems K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Sequential decision making K1 Human-centered computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI SP 1 OP 16 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3544548.3580670 DO https://dl.acm.org/doi/10.1145/3544548.3580670 SF ELIB - SuUB Bremen
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