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» Classifying web queries by topic and user intent
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SIGIR
2011
ACM
12 years 10 months ago
Find it if you can: a game for modeling different types of web search success using interaction data
A better understanding of strategies and behavior of successful searchers is crucial for improving the experience of all searchers. However, research of search behavior has been s...
Mikhail Ageev, Qi Guo, Dmitry Lagun, Eugene Agicht...
WWW
2010
ACM
14 years 2 months ago
Equip tourists with knowledge mined from travelogues
With the prosperity of tourism and Web 2.0 technologies, more and more people have willingness to share their travel experiences on the Web (e.g., weblogs, forums, or Web 2.0 comm...
Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang...
WWW
2007
ACM
14 years 8 months ago
Understanding web search via a learning paradigm
Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified ...
Bernard J. Jansen, Brian Keith Smith, Danielle L. ...
WWW
2006
ACM
14 years 8 months ago
CWS: a comparative web search system
In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
IICS
2003
Springer
14 years 16 days ago
Where to Start Browsing the Web?
Both human users and crawlers face the problem of finding good start pages to explore some topic. We show how to assist in qualifying pages as start nodes by link-based ranking al...
Dániel Fogaras