Exploring Optimal Frequency Caps in Real Time Bidding Advertising
Qin, Rui1,2,3; Yuan, Yong1,2,3; Wang, Fei-Yue1,4
2016
Conference NameThe 9th IEEE International Conference on Social Computing and Networking (SocialCom2016)
Conference Date2016
Conference PlaceUSA
AbstractBenefited 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. 
KeywordReal Time Bidding Frequency Capping Computational Experiment Approach Demand Side Platforms Computational Advertising
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15442
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorYuan, Yong
Affiliation1.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
Recommended Citation
GB/T 7714
Qin, Rui,Yuan, Yong,Wang, Fei-Yue. Exploring Optimal Frequency Caps in Real Time Bidding Advertising[C],2016.
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