Optimizing Digital Coupon Assignment Using Constrained Reinforcement Learning-Reference-Cited by-同舟云学术

Optimizing Digital Coupon Assignment Using Constrained Reinforcement Learning

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 3rd International Conference on Machine Learning and Soft Computing - ICMLSC 2019
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Author:

Yao Xinlin¹,Lu Xianghua²

Affiliation:

1. Nanjing University of Science & Technology, Nanjing, Jiangsu, P.R. China

2. School of Management, Fudan University, Shanghai, P.R. China

Funder

National Natural Science Foundation of China

Publisher

ACM Press

Reference14 articles.

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3. Abe, N., Verma, N., Apte, C. and Schroko, R., 2004. Cross channel optimized marketing by reinforcement learning. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (Seattle, USA, August 22--25, 2004). KDD '04, ACM, 767--772.

4. DelVecchio, D., Krishnan, H.S. and Smith, D.C., 2007. Cents or percent? The effects of promotion framing on price expectations and choice. Journal of Marketing, 71, 3, 158--170.

5. Domingos, P., 1999. Metacost: A general method for making classifiers cost-sensitive. In Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining (San Diego, USA, August 15--18, 1999). SIGKDD '99. ACM, 155--164.