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» Learning to Remove Internet Advertisements
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WWW
2005
ACM
14 years 6 months ago
Adaptive filtering of advertisements on web pages
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
Babak Esfandiari, Richard Nock
ICCBR
2005
Springer
13 years 11 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
WWW
2009
ACM
14 years 6 months ago
Adaptive bidding for display advertising
Motivated by the emergence of auction-based marketplaces for display ads such as the Right Media Exchange, we study the design of a bidding agent that implements a display adverti...
Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Va...
WWW
2008
ACM
14 years 6 months ago
Keyword extraction for contextual advertisement
As the largest online marketplace, eBay strives to promote its inventory throughout the Web via different types of online advertisement. Contextually relevant links to eBay assets...
Xiaoyuan Wu, Alvaro Bolivar
WWW
2006
ACM
14 years 6 months ago
Finding advertising keywords on web pages
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of rev...
Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho