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» Characterizing search intent diversity into click models
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WWW
2011
ACM
8 years 7 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
WSDM
2016
ACM
48views Data Mining» more  WSDM 2016»
3 years 8 months ago
To Suggest, or Not to Suggest for Queries with Diverse Intents: Optimizing Search Result Presentation
We propose a method of optimizing search result presentation for queries with diverse intents, by selectively presenting query suggestions for leading users to more relevant searc...
Makoto P. Kato, Katsumi Tanaka
AIRS
2010
Springer
8 years 10 months ago
Dynamics of Genre and Domain Intents
Abstract. As the type of content available on the web is becoming increasingly diverse, a particular challenge is to properly determine the types of documents sought by a user, tha...
Shanu Sushmita, Benjamin Piwowarski, Mounia Lalmas
SIGIR
2008
ACM
8 years 12 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
WEBI
2009
Springer
9 years 6 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
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