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1 Ergebnisse
1
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in..:
, In:
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Geng, Binzong
;
Huan, Zhaoxin
;
Zhang, Xiaolu
... - p. 2311-2315 , 2024
Link:
https://dl.acm.org/doi/10.1145/3626772.3657974
RT T1 <cTitle>Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3657974&Exemplar=1&LAN=DE A1 Geng, Binzong A1 Huan, Zhaoxin A1 Zhang, Xiaolu A1 He, Yong A1 Zhang, Liang A1 Yuan, Fajie A1 Zhou, Jun A1 Mo, Linjian PB ACM YR 2024 K1 click-through rate prediction K1 large language models K1 Computing methodologies K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Information systems K1 Information systems applications K1 Computational advertising K1 Information retrieval K1 Retrieval models and ranking SP 2311 OP 2315 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626772.3657974 DO https://dl.acm.org/doi/10.1145/3626772.3657974 SF ELIB - SuUB Bremen
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