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ECIR
2009
Springer

Classifying and Characterizing Query Intent

9 years 9 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 clickthrough logs, query specific information, and the content of search engine result pages to study characteristics of query intents, specially commercial intent. The findings of our study suggest that ad clickthrough features, query features, and the content of search engine result pages are together effective in detecting query intent. We also study the effect of query type and the number of displayed ads on the average clickthrough rate. As a practical application of our work, we show that modeling query intent can improve the accuracy of predicting ad clickthrough for previously unseen queries.
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei
Added 08 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where ECIR
Authors Azin Ashkan, Charles L. A. Clarke, Eugene Agichtein, Qi Guo
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