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» A test of genetic algorithms in relevance feedback
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SIGIR
2008
ACM
13 years 7 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
13 years 12 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
14 years 1 months ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
ETRA
2010
ACM
176views Biometrics» more  ETRA 2010»
14 years 2 months ago
Learning relevant eye movement feature spaces across users
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users’ eye movements. Each user is given an image-based search task,...
Zakria Hussain, Kitsuchart Pasupa, John Shawe-Tayl...
HICSS
2006
IEEE
119views Biometrics» more  HICSS 2006»
14 years 1 months ago
Increasing Relevance of Smoking Cessation Messages in an Online Software Agent Environment
An online software agent that helps smokers quit was designed and tested. We created a library of categorized smoking cessation messages using meta-data corresponding to the Stage...
Todd Shimoda, Linda Stapel