In order to get a grasp of the market for advertising, one needs to understand why firms demand advertising, and how suppliers of advertising set their prices. In the present analysis, firms buy advertising in order to inform consumers about their products. TV channels offer advertising on a per-viewer basis. We find that the performance of this market for advertising depends on features of bot...

Illicit sharing of infringing content, such as movies and TV, remains a persistent and ongoing threat to the viability of Australia’s creative industries. The revenue model that underpins torrent indexing and file locker sites which enable this sharing – like much of the World Wide Web – is based on advertising. Recent research has suggested that there has been a shift from mainstream to High-R...

We propose a novel idea in the allocation and serving of online advertising. We show that by using predetermined fixedlength streams of ads (which we call patterns) to serve advertising, we can incorporate a variety of interesting features into the ad allocation optimization problem. In particular, our formulation optimizes for representativeness as well as userlevel diversity and pacing of ads...

Over the last few decades, a wide variety of allocation markets emerged from the Internet and introduced interesting algorithmic challenges, e.g., ad auctions, online dating markets, matching skilled workers to jobs, etc. I focus on the use of allocation algorithms in computational advertising as it is the quintessential application of my research. I will also touch on the classic secretary pro...

For several years, Google has been analyzing television settop box data to measure audience response to specific TV ads. This paper presents how similar techniques can be applied to online video advertising on YouTube. As more and more video programming is made available online, it will become increasingly important to understand how to engage with online viewers through video advertising. Furt...