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WINE
2005
Springer
136views Economy» more  WINE 2005»
14 years 2 months ago
Click Fraud Resistant Methods for Learning Click-Through Rates
Abstract. In pay-per-click online advertising systems like Google, Overture, or MSN, advertisers are charged for their ads only when a user clicks on the ad. While these systems ha...
Nicole Immorlica, Kamal Jain, Mohammad Mahdian, Ku...
COOPIS
2003
IEEE
14 years 1 months ago
Advertising Games for Web Services
In: Proceedings of the Eleventh International Conference on Cooperative Information Systems (CoopIS-03), pp. 93–109, Springer-Verlag LNCS Series. c 2003 by Springer-Verlag. We a...
Alessandro Agostini, Paolo Avesani
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 11 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...
ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 11 months ago
Temporal Analytics on Big Data for Web Advertising
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
WWW
2007
ACM
14 years 9 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno