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1 Ergebnisse
1
Towards Fairness in Personalized Ads Using Impression Varia..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Timmaraju, Aditya Srinivas
;
Mashayekhi, Mehdi
;
Chen, Mingliang
... - p. 4937-4947 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599916
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599916&Exemplar=1&LAN=DE A1 Timmaraju, Aditya Srinivas A1 Mashayekhi, Mehdi A1 Chen, Mingliang A1 Zeng, Qi A1 Fettes, Quintin A1 Cheung, Wesley A1 Xiao, Yihan A1 Kannadasan, Manojkumar Rangasamy A1 Tripathi, Pushkar A1 Gahagan, Sean A1 Bogen, Miranda A1 Roudani, Rob PB ACM YR 2023 K1 ads K1 differential privacy K1 fairness K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Information systems K1 Information retrieval K1 Users and interactive retrieval K1 Personalization SP 4937 OP 4947 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599916 DO https://dl.acm.org/doi/10.1145/3580305.3599916 SF ELIB - SuUB Bremen
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