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» Linguistic Knowledge can Improve Information Retrieval
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ATAL
2008
Springer
15 years 8 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 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
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 7 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
ICIW
2009
IEEE
16 years 1 months ago
Personalized News Search in WWW: Adapting on User's Behavior
— Personalized Web Search becomes nowadays a promising option in the field of Information Retrieval and search engines design by improving both output quality and user experience...
Christos Bouras, Vassilis Poulopoulos, Panagiotis ...
SIGIR
2004
ACM
15 years 12 months ago
Human versus machine in the topic distillation task
This paper reports on and discusses a set of user experiments using the TREC 2003 Web interactive track protocol. The focus is on comparing humans and machine algorithms in terms ...
Mingfang Wu, Gheorghe Muresan, Alistair McLean, Mu...