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» Agglomerative clustering of a search engine query log
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EMNLP
2009
13 years 4 months ago
Mining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...
TKDE
2012
227views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Publishing Search Logs - A Comparative Study of Privacy Guarantees
—Search engine companies collect the “database of intentions”, the histories of their users’ search queries. These search logs are a gold mine for researchers. Search engin...
Michaela Götz, Ashwin Machanavajjhala, Guozha...
ERCIMDL
2010
Springer
158views Education» more  ERCIMDL 2010»
13 years 7 months ago
Ranking Entities Using Web Search Query Logs
Abstract Searching for entities is an emerging task in Information Retrieval for which the goal is finding well defined entities instead of documents matching the query terms. In t...
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Fi...
JAIR
2011
138views more  JAIR 2011»
13 years 1 months ago
Identifying Aspects for Web-Search Queries
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effectiv...
Fei Wu, Jayant Madhavan, Alon Y. Halevy
KES
2008
Springer
13 years 6 months ago
Data Mining for Navigation Generating System with Unorganized Web Resources
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
Diana Purwitasari, Yasuhisa Okazaki, Kenzi Watanab...