GATS: Generative Audience Targeting System for Online Advertising

Author:

Jiang Cong1ORCID,Chen Zhongde2ORCID,Zhang Bo2ORCID,Ren Yankun2ORCID,Dong Xin2ORCID,Cheng Lei2ORCID,Yang Xinxing2ORCID,Li Longfei2ORCID,Zhou Jun2ORCID,Mo Linjian2ORCID

Affiliation:

1. Ant Group, Hang Zhou, China

2. Ant Group, Hangzhou, China

Publisher

ACM

Reference24 articles.

1. Alan S Abrahams, Eloise Coupey, Eva X Zhong, Reza Barkhi, and Pete S Manasantivongs. 2013. Audience targeting by B-to-B advertisement classification: A neural network approach. Expert systems with applications, Vol. 40, 8 (2013), 2777--2791.

2. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

3. EFFECTIVENESS OF ONLINE ADVERTISING

4. Roi Cohen, Mor Geva, Jonathan Berant, and Amir Globerson. 2023. Crawling the internal knowledge-base of language models. arXiv preprint arXiv:2301.12810 (2023).

5. Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024. Qlora: Efficient finetuning of quantized llms. Advances in Neural Information Processing Systems , Vol. 36 (2024).

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