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ECIR
2009
Springer
15 years 6 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...
82
Voted
SIGIR
2006
ACM
15 years 3 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
68
Voted
ICCD
2002
IEEE
130views Hardware» more  ICCD 2002»
15 years 6 months ago
Branch Behavior of a Commercial OLTP Workload on Intel IA32 Processors
This paper presents a detailed branch characterization of an Oracle based commercial on-line transaction processing workload, Oracle Database Benchmark (ODB), running on an IA32 p...
Murali Annavaram, Trung A. Diep, John Paul Shen
SIGIR
2010
ACM
15 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
CHI
2011
ACM
14 years 1 months ago
Characterizing the usability of interactive applications through query log analysis
People routinely rely on Internet search engines to support their use of interactive systems: they issue queries to learn how to accomplish tasks, troubleshoot problems, and other...
Adam Fourney, Richard Mann, Michael Terry