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» Clustering user queries of a search engine
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EMNLP
2009
13 years 5 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...
AI
2008
Springer
14 years 2 months ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
HPDC
2010
IEEE
13 years 8 months ago
New caching techniques for web search engines
This paper proposes a cache hierarchy that enables Web search engines to efficiently process user queries. The different caches in the hierarchy are used to store pieces of data w...
Mauricio Marín, Veronica Gil Costa, Carlos ...
COMPSYSTECH
2009
13 years 5 months ago
Personalized web search using context enhanced query
: This work presents personalized web search using enhancing information extracted from context. Context reflects user profile, her interests, past searching experiences etc. It is...
Michal Kajaba, Pavol Návrat
AIRWEB
2008
Springer
13 years 9 months ago
Query-log mining for detecting spam
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
Carlos Castillo, Claudio Corsi, Debora Donato, Pao...