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» Clustering user queries of a search engine
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ACML
2009
Springer
14 years 2 months ago
Context-Aware Online Commercial Intention Detection
With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transac...
Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, ...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
WWW
2009
ACM
14 years 8 months ago
Estimating the impressionrank of web pages
The ImpressionRank of a web page (or, more generally, of a web site) is the number of times users viewed the page while browsing search results. ImpressionRank captures the visibi...
Ziv Bar-Yossef, Maxim Gurevich
WWW
2011
ACM
13 years 2 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...
PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
XTreeNet: democratic community search
We describe XTreeNet, a distributed query dissemination engine which facilitates democratization of publishing and efficient data search among members of online communities with p...
Emiran Curtmola, Alin Deutsch, Dionysios Logotheti...