2008
978-1-60558-085-2/08/04
2
Ewa Dominowska and Vanja Josifovski
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a significant 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.
H.4.mInformation Systems ApplicationsMiscellaneous
Algorithms, Experimentation, Measurements
Online Advertising, Targeting, Ranking of Online
Advertising