Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising-Reference-Cited by-同舟云学术

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Author:

Zhang Zhilin¹,Liu Xiangyu¹,Zheng Zhenzhe²,Zhang Chenrui³,Xu Miao¹,Pan Junwei⁴,Yu Chuan¹,Wu Fan²,Xu Jian¹,Gai Kun¹

Affiliation:

1. Alibaba Group, Beijing, China

2. Shanghai Jiao Tong University, Shanghai, China

3. Peking University, Beijing, China

4. Yahoo Research, Sunnyvale, CA, USA

Funder

Alibaba Innovation Research Program

China NSF grant

Science and Technology Innovation 2030 ? New Generation Artificial Intelligence Major Project

Shanghai Science and Technology fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441771

Reference27 articles.

1. 2020. Supplementary Materials. https://drive.google.com/file/d/1nTBTaKK5n9NUvf1k7iXNzVhY5vjb3U7J/view?usp=sharing 2020. Supplementary Materials. https://drive.google.com/file/d/1nTBTaKK5n9NUvf1k7iXNzVhY5vjb3U7J/view?usp=sharing

2. Optimising trade-offs among stakeholders in ad auctions

3. Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics

4. Self-interested automated mechanism design and implications for optimal combinatorial auctions

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