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» Grouping Web Users based on Query Log
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SIGIR
2012
ACM
12 years 12 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...
75
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AIRS
2006
Springer
15 years 1 months ago
Automatic Query Type Identification Based on Click Through Information
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma
WWW
2006
ACM
15 years 10 months ago
Extracting news-related queries from web query log
In this poster, we present a method for extracting queries related to real-life events, or news-related queries, from large web query logs. The method employs query frequencies an...
Michael Maslov, Alexander Golovko, Ilya Segalovich...
IMC
2006
ACM
15 years 3 months ago
Web search clickstreams
Search engines are a vital part of the Web and thus the Internet infrastructure. Therefore understanding the behavior of users searching the Web gives insights into trends, and en...
Nils Kammenhuber, Julia Luxenburger, Anja Feldmann...
CIKM
2009
Springer
15 years 4 months ago
Analyzing and evaluating query reformulation strategies in web search logs
Users frequently modify a previous search query in hope of retrieving better results. These modifications are called query reformulations or query refinements. Existing research h...
Jeff Huang, Efthimis N. Efthimiadis