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» Agglomerative clustering of a search engine query log
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ECIR
2009
Springer
14 years 4 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...
SEMWEB
2009
Springer
14 years 1 months ago
Learning Semantic Query Suggestions
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...
Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurni...
DATESO
2006
103views Database» more  DATESO 2006»
13 years 8 months ago
Using WordNet Glosses to Refine Google Queries
This paper describes one of the ways how to overcome one of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clu...
Jan Nemrava
WWW
2010
ACM
14 years 1 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
CLEF
2010
Springer
13 years 7 months ago
LogCLEF 2010: the CLEF 2010 Multilingual Logfile Analysis Track Overview
Log data constitutes a relevant aspect in the evaluation process of multilingual search services. Activity logs allow to study the usage of search engines and to better adapt them ...
Thomas Mandl, Giorgio Maria Di Nunzio, Julia Maria...