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ECIR
2009
Springer
14 years 7 months ago
Classifying and Characterizing Query Intent
Understanding the intent underlying user queries may help personalize search results and improve user satisfaction. In this paper, we develop a methodology for using ad clickthroug...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...
CORR
2010
Springer
76views Education» more  CORR 2010»
13 years 10 months ago
Nonadaptive quantum query complexity
We study the power of nonadaptive quantum query algorithms, which are algorithms whose queries to the input do not depend on the result of previous queries. First, we show that an...
Ashley Montanaro
NBIS
2010
Springer
13 years 8 months ago
Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada
SIGIR
2010
ACM
14 years 1 months ago
Predicting searcher frustration
When search engine users have trouble finding information, they may become frustrated, possibly resulting in a bad experience (even if they are ultimately successful). In a user ...
Henry A. Feild, James Allan, Rosie Jones