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» Characterizing search intent diversity into click models
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WWW
2011
ACM
12 years 11 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...
AIRS
2010
Springer
13 years 2 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
13 years 4 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
13 years 11 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...
WWW
2010
ACM
13 years 11 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu