In-Depth Survey of Digital Advertising Technologies

@article{Chen2016InDepthSO,
  title={In-Depth Survey of Digital Advertising Technologies},
  author={Gong Chen and Jacob H. Cox and Arif Selcuk Uluagac and John A. Copeland},
  journal={IEEE Communications Surveys \& Tutorials},
  year={2016},
  volume={18},
  pages={2124-2148}
}
Some of the world's most well-known IT companies are in fact advertising companies deriving their primary revenues through digital advertising. For this reason, these IT giants are able to continually drive the evolutions of information technology in ways that serve to enhance our everyday lives. The benefits of this relationship include free web browsers with powerful search engines and mobile applications. Still, it turns out that “free” comes at a cost that is paid through our interactions… 
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References

SHOWING 1-10 OF 172 REFERENCES
Best paper -- Follow the money: understanding economics of online aggregation and advertising
TLDR
A simple model is developed that captures the various parameters of today's advertising revenues, whose values are estimated via the traces and shows that per aggregator revenue is skewed, while the contribution of users to advertising revenue is much less skewed.
An Economic Analysis of Online Advertising Using Behavioral Targeting
TLDR
It is demonstrated that, although social welfare is increased and small advertisers are better off under behavioral targeting, the dominant advertiser might be worse off and reluctant to switch from traditional advertising.
The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements
TLDR
This paper performs the first large-scale study of the safety of the advertisements that are encountered by the users on the Web, and analyzes to what extent users are exposed to malicious content through advertisements.
Adscape: harvesting and analyzing online display ads
TLDR
A first-of-its-kind study that seeks to broadly understand the features, mechanisms and dynamics of display advertising on the web - i.e., the Adscape - from the perspective of users who are the targets of display ads shown on web sites.
Challenges in measuring online advertising systems
TLDR
A first principled look at measurement methodologies for ad networks is taken, which proposes new metrics that are robust to the high levels of noise inherent in ad distribution, identifies measurement pitfalls and artifacts, and provides mitigation strategies.
Privad: Practical Privacy in Online Advertising
TLDR
This paper presents Privad, an online advertising system designed to be faster and more private than existing systems while filling the practical market needs of targeted advertising: ads shown in web pages; targeting based on keywords, demographics, and interests; and defense against click-fraud.
Risk-aware revenue maximization in display advertising
TLDR
The problem of maximizing revenue by adjusting prices of display inventory is addressed, and the optimization approach drives the revenue towards local maximum under mild conditions on the properties of the (unknown) demand curve.
Understanding the Network and User-Targeting Properties of Web Advertising Networks
TLDR
This paper extensively evaluate Google's, AOL's, and Ad blade's ad networks and demonstrates how their different design philosophies dominantly affect their performance at both network and content levels.
Understanding fraudulent activities in online ad exchanges
TLDR
A detailed view of how one of the largest ad exchanges operates and the associated security issues from the vantage point of a member ad network is presented.
AdSplit: Separating Smartphone Advertising from Applications
TLDR
AdSplit is described, where Android is extended to allow an application and its advertising to run as separate processes, under separate user-ids, eliminating the need for applications to request permissions on behalf of their advertising libraries, and providing services to validate the legitimacy of clicks, locally and remotely.
...
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