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» Learning to Distribute Queries into Web Search Nodes
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CIKM
2009
Springer
15 years 4 months 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...
93
Voted
WWW
2009
ACM
15 years 10 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»
13 years 5 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...
103
Voted
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
15 years 1 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
PET
2010
Springer
15 years 1 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