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IV
2007
IEEE
144views Visualization» more  IV 2007»
16 years 1 months ago
Visualizing Evolving Searches with EvoBerry
Studies show that roughly one-third of searches that are performed on the web require the user to initiate subsequent searches. Bates [1] theorized that with every search the user...
Edward Suvanaphen, Jonathan C. Roberts
SIGIR
2011
ACM
14 years 10 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
SIGIR
2005
ACM
16 years 20 days ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
CIKM
2008
Springer
15 years 9 months ago
Understanding the relationship between searchers' queries and information goals
We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies. We note th...
Doug Downey, Susan T. Dumais, Daniel J. Liebling, ...
EMO
2006
Springer
172views Optimization» more  EMO 2006»
15 years 10 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen