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» Ranking Entities Using Web Search Query Logs
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SIGIR
2012
ACM
11 years 10 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
VLDB
2007
ACM
132views Database» more  VLDB 2007»
14 years 1 months ago
EntityRank: Searching Entities Directly and Holistically
As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate for a wide range of query tasks....
Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
ITCC
2003
IEEE
14 years 25 days ago
The Effects of Search Engines and Query Operators on Top Ranked Results
We examine whether the use of query operators changes the documents retrieved by three popular Web search engines. One hundred queries containing query operators were selected fro...
Bernard J. Jansen, Caroline M. Eastman
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
15 years 7 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
CIKM
2007
Springer
14 years 1 months ago
Shine: search heterogeneous interrelated entities
Heterogeneous entities or objects are very common and are usually interrelated with each other in many scenarios. For example, typical Web search activities involve multiple types...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen