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AdSEE: Investigating the Impact of Image Style Editing on A..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Jiang, Liyao
;
Li, Chenglin
;
Chen, Haolan
... - p. 4239-4251 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599770
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599770&Exemplar=1&LAN=DE A1 Jiang, Liyao A1 Li, Chenglin A1 Chen, Haolan A1 Gao, Xiaodong A1 Zhong, Xinwang A1 Qiu, Yang A1 Ye, Shani A1 Niu, Di PB ACM YR 2023 K1 advertisement image editing K1 click-through rate prediction K1 genetic algorithms K1 stylegan K1 Information systems K1 World Wide Web K1 Online advertising K1 Display advertising K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision representations K1 Image representations K1 Information systems applications K1 Computational advertising SP 4239 OP 4251 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599770 DO https://dl.acm.org/doi/10.1145/3580305.3599770 SF ELIB - SuUB Bremen
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