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» Agglomerative clustering of a search engine query log
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IPM
2008
155views more  IPM 2008»
13 years 6 months ago
Determining the informational, navigational, and transactional intent of Web queries
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
DAGSTUHL
2007
13 years 8 months ago
Exploiting Community Behavior for Enhanced Link Analysis and Web Search
Methods for Web link analysis and authority ranking such as PageRank are based on the assumption that a user endorses a Web page when creating a hyperlink to this page. There is a...
Julia Luxenburger, Gerhard Weikum
IMC
2006
ACM
14 years 22 days ago
Web search clickstreams
Search engines are a vital part of the Web and thus the Internet infrastructure. Therefore understanding the behavior of users searching the Web gives insights into trends, and en...
Nils Kammenhuber, Julia Luxenburger, Anja Feldmann...
WWW
2009
ACM
14 years 7 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...
AIRWEB
2008
Springer
13 years 8 months ago
A large-scale study of automated web search traffic
As web search providers seek to improve both relevance and response times, they are challenged by the ever-increasing tax of automated search query traffic. Third party systems in...
Gregory Buehrer, Jack W. Stokes, Kumar Chellapilla