DocumentCode
184910
Title
Dominant Bidding Strategy in Mobile App Advertising Auction
Author
Lei Wang ; Yong Zhang ; Zhide Chen ; Li Ning ; Cheng Qiao
fYear
2014
fDate
5-7 Nov. 2014
Firstpage
26
Lastpage
30
Abstract
The widespread use of intelligent mobile phone has promoted prosperity of mobile App advertising in recent years. Based on existing bidding status, this paper presents the dominant bidding strategy for mobile advertising auction. Firstly, our study characterizes multiple Nash Equilibria resulting from different bidding strategies in wGSP (weighted Generalized Second-Price) auction. Further more, we prove that advertiser´s rank and utility will not decrease by using the dominant bidding strategy. We also consider the situation where the reserve price is set by the mobile advertising platform. It turns out that that advertiser´s payment will be no less than reserve price. Finally, a practical implementation for a virtual market simulates the dynamic bidding process in real world environments.
Keywords
advertising data processing; game theory; mobile computing; tendering; Nash Equilibria; advertiser payment; advertiser rank; bidding status; dominant bidding strategy; dynamic bidding process; intelligent mobile phone; mobile App advertising; mobile advertising auction; mobile advertising platform; reserve price; virtual market; wGSP; weighted generalized second-price auction; Advertising; Algorithm design and analysis; Educational institutions; Electronic commerce; Mobile communication; Nash equilibrium; Vectors; Dominant Bidding Strategy; Mobile App Advertising Auction; Nash Equilibrium; wGSP mechanism;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business Engineering (ICEBE), 2014 IEEE 11th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4799-6562-5
Type
conf
DOI
10.1109/ICEBE.2014.17
Filename
6982055
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