DocumentCode :
157860
Title :
A survey on real time bidding advertising
Author :
Yong Yuan ; Feiyue Wang ; Juanjuan Li ; Rui Qin
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
418
Lastpage :
423
Abstract :
Real-time bidding (RTB) is an emerging and promising business model for online computational advertising in the age of big data. Based on analysis of massive amounts of Cookie data generated by Internet users, RTB advertising has the potential of identifying in real-time the characteristic and interest of the target audience in each ad impression, automatically delivering best-matched ads, and optimizing their prices via auction-based programmatic buying scheme. RTB has significantly changed online advertising, evolving from the traditional pattern of “media buying” and “ad-slot buying” to “target-audience buying”, and is expected to be the standard business model for online advertising in the future. In this paper, we discussed the current market practice of RTB advertising, presented the key roles and typical business processes in RTB markets, and summarized the current research progresses in the existing literature. The aim of this paper is to provide useful reference and guidance for future works.
Keywords :
Big Data; advertising data processing; electronic commerce; purchasing; Big Data; RTB advertising; auction-based programmatic buying scheme; online computational advertising; real time bidding advertising; Business; Games; Real-time systems; big data; computational advertising; online advertising; real-time bidding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Operations and Logistics, and Informatics (SOLI), 2014 IEEE International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/SOLI.2014.6960761
Filename :
6960761
Link To Document :
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