This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
Foster J. Provost, Brian Dalessandro, Rod Hook, Xi...
We propose an expressive auction design that allows advertisers to specify the kinds of demographics and websites they wish to target within an advertising network. The design all...
Recent advances in click model have positioned it as an attractive method for representing user preferences in web search and online advertising. Yet, most of the existing works f...
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguan...
Information overload has become an important problem in the internet, and that all kinds of existing ads flood into people’s eyes causes scarcity of user’s attention. To provi...
We consider the problem of managing advertisements (or ads for short) for ad-hoc online videos, such as those generated by end users. We propose a novel ad selection approach base...