This paper summarizes the display advertising literature, organizing the content by the
agents in the display advertising ecosystem, and proposes new research directions. In doing …

Display advertising is the major source of revenue for service and content providers on the
Internet. Here, the authors explain the prevalent mechanisms for selling display advertising …

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 …

A celebrated impossibility result by Myerson and Satterthwaite (1983) shows that any truthful
mechanism for two-sided markets that maximizes social welfare must run a deficit, resulting …

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 …

We study learning algorithms that optimize revenue in repeated contextual posted-price
auctions where a seller interacts with a single strategic buyer that seeks to maximize his …

We study revenue optimization learning algorithms for repeated posted-price auctions
where a seller interacts with a (truthful or strategic) buyer that holds a fixed valuation. We …

Advertising in mobile apps has recently become one of the most popular advertising
channels for businesses when its annual revenue has rapidly increased year over year. On …

Over the last decade, digital media (web or app publishers) generalized the use of real time
ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Side …

We study the problem of designing dynamic double auctions for two-sided markets in which
a platform intermediates the trade between one seller offering independent items to multiple …