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Motivated by the increased adoption of autobidding algorithms in internet advertising markets, we study the design of optimal mechanisms for selling an item to a value-maximizing buyer with a return-on-spend constraint. The buyer's values and target ...

The internet advertising market is a multibillion dollar industry in which advertisers buy thousands of ad placements every day by repeatedly participating in auctions. An important and ubiquitous feature of these auctions is the presence of campaign ...

We study the design of revenue-maximizing mechanisms for value-maximizing agents with budget constraints. Agents have return-on-spend constraints requiring a minimum amount of value per unit of payment made and budget constraints limiting their total ...

Efficient and Profit-Maximizing Dynamic Double Auctions for Two-Sided Markets

Two-sided markets that enable sellers and buyers to trade have received considerable attention in the past decade. Prominent examples include online advertising, freelancing, and ...

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 buyers, repeatedly over a finite horizon, when agents have private ...

Internet advertisers are increasingly adopting automated bidders to buy advertising opportunities. Automated bidders simplify the procurement process by allowing advertisers to specify their goals and then bidding on their behalf in the auctions that ...

Problem definition : We consider a setting where online advertisers seek to acquire impressions from an advertising exchange through a multitier network of intermediaries, and study the mechanisms offered by the ad exchange and intermediaries when the ...

With the advent of big data and Internet era, the scale of network economy is getting larger and larger. Blocking online advertisements is practical for users, but it also does harm to certain interests of advertisers. The antagonistic relationship has ...

A major challenge faced by marketers attempting to optimize their advertising campaigns is to deal with budget constraints. The problem is even harder in the face of multidimensional budget constraints, particularly in the presence of many decision ...

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 buyers, repeatedly over a finite horizon, when agents have private ...

Despite their better revenue and welfare guarantees for repeated auctions, dynamic mechanisms have not been widely adopted in practice. This is partly due to the complexity of their implementation as well as their unrealistic use of forecasting for ...

We study the online budgeted allocation (also called Adwords) problem, where a set of impressions arriving online are allocated to a set of budget-constrained advertisers to maximize revenue. Motivated by connections to Internet advertising, several ...

This study presents generations of digital marketing business strategy, guidelines and insights to online social media companies for how to design online target advertisements in digital market places, application development, and methods for improving ...

The rise of crowdsourcing brings new types of malpractices in Internet advertising. One can easily hire web workers through malicious crowdsourcing platforms to attack other advertisers. Such human generated crowd frauds are hard to detect by ...

On November 20 and 21 2014, Telefonica I+D hosted the Data Transparency Lab ("DTL") Kickoff Workshop on Personal Data Transparency and Online Privacy at its headquarters in Barcelona, Spain. This workshop provided a forum for technologists, researchers, ...

It is clear today that mobile video is a major traffic source and that online advertising is a steadily growing business. These trends are leading towards mobile video advertising becoming ubiquitous. We make two contributions towards better ...

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 -...

Mobile app marketplaces are dominated by free apps that rely on advertising for their revenue. These apps place increased demands on the already limited battery lifetime of modern phones. For example, in the top 15 free Windows Phone apps, we found in-...

We show that existence of negative externalities among market participants competing for a scarce resource, a setting typical for electronic commerce and internet advertising, allows for emergence of the no-allocation equilibrium with positive revenues ...

We consider the problem of designing revenue maximizing mechanisms for dynamic settings. We propose a simple optimal mechanism for rather general "separable" settings. The proposed mechanism is implemented via an affine transformation of a dynamic VCG ...

We study an online advertising model in which the merchant reimburses a portion of the transacted amount to the customer in a form of rebate. The customer referral and the rebate transfer might be mediated by a search engine. We investigate how the ...