BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising

2021 International Joint Conference on Neural Networks (IJCNN)(2021)

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摘要
Digital advertising companies typically conduct several advertising campaigns in parallel while being constrained by a fixed overall advertising budget. This gives rise to the problem of distributing the budget across the different campaigns dynamically so as to optimize the overall return on investment (ROI) (or some other metric) within a specified time duration. In this paper, we propose an RL ...
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关键词
Measurement,Costs,Neural networks,Companies,Dynamic scheduling,Resource management,Advertising
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