First Workshop on Targeting and Ranking for Online Advertising
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a signi.cant element of the Web browsing experience. Ad platforms used for ad selection use sophisticated targeting and ranking algorithms with the dual aim of maximizing revenue while providing a superior user experience. As a result, advertising optimization is a very complex research problem, since it combines relevance with user interaction models, advertiser valuations, and commercial constraints. Online advertising integrates a number of core research areas: machine learning, data mining, search, auction theory, and user modeling. This workshop is intended to serve as an open forum for discussion of new ideas and current research in the field of online advertising. The primary goal is to promote a community of researchers interested in this area and yield future collaboration and exchanges. The research included will address problems faced by all the participants in the online advertising process: advertisers, end-users, advertising platforms and web publishers.
Online Advertising Targeting Ranking of Online Advertising
Ewa Dominowska Vanja Josifovski
Microsoft Corporation USA Yahoo! Research USA
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）