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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 8 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
IADIS
2003
13 years 9 months ago
Simulation Based Approach to Evaluate a Distributed Search Engine
We present a simulation model used to evaluate a distributed search engine by modelling its performance. The model is designed to aid performance-driven evolution of the system. W...
Thomas Phelan, Ahmed Patel, Seamus O. Ciardhu&aacu...
CLEF
2006
Springer
13 years 11 months ago
SINAI at CLEF 2006 Ad Hoc Robust Multilingual Track: Query Expansion Using the Google Search Engine
This year, we have participated on Ad-Hoc Robust Multilingual track with the aim to evaluate two issues of CLIR systems. Firstly, this paper describes the method followed for quer...
Fernando Martínez Santiago, Arturo Montejo ...
SIGIR
2008
ACM
13 years 7 months ago
Enhancing web search by promoting multiple search engine use
Any given Web search engine may provide higher quality results than others for certain queries. Therefore, it is in users' best interest to utilize multiple search engines. I...
Ryen W. White, Matthew Richardson, Mikhail Bilenko...
WWW
2009
ACM
14 years 8 months ago
User-centric content freshness metrics for search engines
In order to return relevant search results, a search engine must keep its local repository synchronized to the Web, but it is usually impossible to attain perfect freshness. Hence...
Ali Dasdan, Xinh Huynh