Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Author:

Chen Dagui1,Jin Junqi1,Zhang Weinan2,Pan Fei1,Niu Lvyin1,Yu Chuan1,Wang Jun3,Li Han1,Xu Jian1,Gai Kun1

Affiliation:

1. Alibaba Group, Beijing, China

2. Shanghai Jiao Tong University, Shanghai, China

3. University College London, London, England UK

Funder

National Natural Science Foundation of China

Publisher

ACM

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

2. Hierarchically Constrained Adaptive Ad Exposure in Feeds;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

3. The Effects of Logistics Websites’ Technical Factors on the Optimization of Digital Marketing Strategies and Corporate Brand Name;Processes;2022-05-01

4. Investigating the Influence of Ads on User Search Performance, Behaviour, and Experience during Information Seeking;Proceedings of the 2021 Conference on Human Information Interaction and Retrieval;2021-03-14

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