Bibtex de la publication

@TechReport{ Ko2015.2,
author = {Kopliku, Arlind and Pinel Sauvagnat, Karen and Boughanem, Mohand},
title = "{Tailoring aggregated search per class of query}",
year = {2015},
month = {décembre},
type = {Rapport de recherche},
number = {IRIT/RT--2015--04--FR},
institution = {IRIT},
address = {Université Paul Sabatier, Toulouse},
language = {anglais},
URL = {http://www.irit.fr/intranet/ajaxplorer/data/public/8ad95141b173576043c0eb4cd58aa9ea.php?lang=en},
keywords = {aggregated search, class preferences},
abstract = {In this paper, we study the use of class-vertical preferences (cvp) for aggregated search (AS). Our aim is multiple: a) support the vertical selection process when queries include named entities, b) fill the vacuum in research of available features for AS. Our studies show that class-vertical preferences (cvp) are reliable. Different taxonomies are analyzed. By comparing 5 systems, we show that class-level preferences can improve significantly web search: we double recall without introducing false positives and unimportant results.}
}