Value-aware Recommendation based on Reinforcement Profit Maximization-Reference-Cited by-同舟云学术

Value-aware Recommendation based on Reinforcement Profit Maximization

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Pei Changhua¹,Yang Xinru²,Cui Qing³,Lin Xiao¹,Sun Fei¹,Jiang Peng¹,Ou Wenwu¹,Zhang Yongfeng⁴

Affiliation:

1. Alibaba Group

2. Carnegie Mellon University

3. Ant Financial Services Group

4. Rutgers University

Publisher

ACM Press

Reference42 articles.

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3. Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Pizzato, Yi Zhang, and Himan Abdollahpouri. 2017. VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. In Proceedings of the Eleventh ACM Conference on Recommender Systems. ACM, 378-379.

4. Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, and Hai-Hong Tang. 2018. Stabilizing reinforcement learning in dynamic environment with application to online recommendation. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM.

5. Paolo Cremonesi, Yehuda Koren, and Roberto Turrin. 2010. Performance of recommender algorithms on top-n recommendation tasks. In Proceedings of the fourth ACM conference on Recommender systems. ACM, 39-46.

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