Research on the Frequency Capping Issue in RTB Advertising: A Computational Experiment Approach
文献类型：会议论文
| 作者 | Qin, Rui ; Yuan, Yong; Wang, Fei-Yue; Li, Juanjuan; Rui Qin
|
| 出版日期 | 2015-11 |
| 会议日期 | Nov. 27-29, 2015 |
| 会议地点 | Wuhan, China |
| 关键词 | Real Time Bidding Computational Advertising Frequency Capping Computational Experiment Approach Demand Side Platforms |
| 英文摘要 | Real time bidding (RTB) is emerged with the rapid development and integration of Internet and big data, and it has become the most important business model for online computational advertising. In RTB-based advertising markets, Demand Side Platforms (DSPs) aim to help the advertisers buy ad impressions matched with their target audiences. Due to the existence of discount rate, the advertising effect may be diminished when displaying the advertisements multiple times to the same target audience. As such, frequency capping is widely considered as a crucial issue faced by most advertisers. In this paper, we mainly consider the frequency capping problems in RTB advertising markets, and establish a two-stage optimization model for advertisers and DSPs. Utilizing the computational experiment approach, we design two experiments to validate our model. The experimental results show that under different discount rates, the optimal frequency caps are different. Moreover, when considering all the discount rates, there exists an optimal frequency cap, at which the expected maximum revenue can be obtained in the long run. |
| 会议录 | Proceedings of 2015 Chinese Automation Congress
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11568]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Rui Qin |
| 推荐引用方式 GB/T 7714 | Qin, Rui,Yuan, Yong,Wang, Fei-Yue,et al. Research on the Frequency Capping Issue in RTB Advertising: A Computational Experiment Approach[C]. 见:. Wuhan, China. Nov. 27-29, 2015. |
入库方式： OAI收割
来源：自动化研究所
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