Exploring Optimal Frequency Caps in Real Time Bidding Advertising
文献类型:会议论文
作者 | Qin, Rui1,2,3![]() ![]() ![]() |
出版日期 | 2016 |
会议日期 | 2016 |
会议地点 | USA |
关键词 | Real Time Bidding Frequency Capping Computational Experiment Approach Demand Side Platforms Computational Advertising |
英文摘要 | Benefited from the high-speed development of Internet and the popularization of big data technology, Real Time Bidding (RTB) emerged and developed quickly, and has become one of the most important and popular model for online computational advertising. In the pay-per-impression based RTB advertising, frequency capping is undoubtedly one of the most crucial issues faced by advertisers and Demand Side Platforms (DSPs), since there are generally vast amount of ad requests in RTB markets, among which many may be triggered by the same target audience. As such, choosing the optimal frequency cap considering all the advertisers becomes a critical issue faced by DSPs. Considering that displaying one advertisement multiple number of times to the same user will diminish the advertising effect, we introduce the concept of discount factor and establish an optimization model of frequency capping to seek for the optimal frequency cap for each advertiser. We also design some experiments to validate our proposed model by utilizing the computational experiment approach, and the experimental results show that the optimal frequency cap can be influenced by the values of the discount factors, and higher value of the discount factor can deduce the advertising effect of larger frequency cap. Moreover, when the discount factors of the advertisers take different values, there also exists an optimal frequency cap, at which the advertisers can get the expected maximum revenue in the long run. |
源URL | [http://ir.ia.ac.cn/handle/173211/15442] ![]() |
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 | Yuan, Yong |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Qingdao Academy of Intelligent Industries 3.Beijing Engineering Research Center of Intelligent Systems and Technology 4.Research Center of Military Computational Experiments and Parallel System, National University of Defense Technology |
推荐引用方式 GB/T 7714 | Qin, Rui,Yuan, Yong,Wang, Fei-Yue. Exploring Optimal Frequency Caps in Real Time Bidding Advertising[C]. 见:. USA. 2016. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。