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NIPS
2008
13 years 6 months ago
Transfer Learning by Distribution Matching for Targeted Advertising
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
Steffen Bickel, Christoph Sawade, Tobias Scheffer
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 5 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 7 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...
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
13 years 11 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
ICCBR
2005
Springer
13 years 10 months ago
Advertising Strategies: Learning Competence through Cooperative Game Playing
In this paper we consider the competition on the Internet between information providers to maximise their exposure to a relevant audience. Spammers and Search engine gamers adopt a...
Paolo Avesani, Conor Hayes