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» Learning to Distribute Queries into Web Search Nodes
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CIKM
2009
Springer
16 years 11 days ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
WWW
2009
ACM
16 years 6 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
14 years 1 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
15 years 10 months ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins
234
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PET
2010
Springer
15 years 9 months ago
On the Privacy of Web Search Based on Query Obfuscation: A Case Study of TrackMeNot
Web Search is one of the most rapidly growing applications on the internet today. However, the current practice followed by most search engines – of logging and analyzing users...
Sai Teja Peddinti, Nitesh Saxena