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Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Conducting fraud transactions has become popular among e-commerce sellers to make their products favorable to the platform and buyers, which decreases the utilization efficiency of buyer impressions and jeopardizes the business environment. Fraud detection techniques are necessary but not enough for the platform since it is impossible to recognize all the fraud transactions. In this paper, we focus on improving the platform's impression allocation mechanism to maximize its profit and reduce the
doi:10.24963/ijcai.2018/548
dblp:conf/ijcai/ZhaoLALYC18
fatcat:l5ajdugfofcrxbchamfsvxjehe