Learning to Infer User Hidden States for Online Sequential Advertising-Reference-Cited by-同舟云学术

Learning to Infer User Hidden States for Online Sequential Advertising

Published:2020-10-19 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Peng Zhaoqing¹,Jin Junqi¹,Luo Lan²,Yang Yaodong³,Luo Rui³,Wang Jun³,Zhang Weinan⁴,Xu Haiyang¹,Xu Miao¹,Yu Chuan¹,Luo Tiejian⁵,Li Han¹,Xu Jian¹,Gai Kun¹

Affiliation:

1. Alibaba Group, Beijing, China

2. University of Southern California, Los Angeles, CA, USA

3. University College London, London, United Kingdom

4. Shanghai Jiao Tong University, Shanghai, China

5. University of Chinese Academy of Sciences, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412721

Reference34 articles.

1. Vibhanshu Abhishek Peter Fader and Kartik Hosanagar. 2012. Media exposure through the funnel: A model of multi-stage attribution. Available at SSRN 2158421 (2012). Vibhanshu Abhishek Peter Fader and Kartik Hosanagar. 2012. Media exposure through the funnel: A model of multi-stage attribution. Available at SSRN 2158421 (2012).

2. A Neural Networks Committee for the Contextual Bandit Problem

3. Real-Time Bidding by Reinforcement Learning in Display Advertising

4. Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation

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