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The lookahead principle for preference elicitation: Experimental results
Authors
Núria Marzo Cabero
Dolors Márquez Cebrián
Sarai Sabaté Diaz
Elena Valderrama Vallés
Publication date
14 January 2008
Publisher
Springer Verlag, Heidelberg, D-69121, Germany
Abstract
Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggestions chosen to inform users about the available choices. We discuss the problem of eliciting preferences in example-based tools and present the lookahead principle for generating suggestions. We compare two different implementations of this principle and we analyze logs of real user interactions to evaluate them. © Springer-Verlag Berlin Heidelberg 2006
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Consortium of Academic Libraries of Catalonia (CBUC)
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oai:www.mdx.cat:10503/63905
Last time updated on 08/01/2019
Infoscience - École polytechnique fédérale de Lausanne
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oai:infoscience.tind.io:115277
Last time updated on 09/02/2018
Consortium of Academic Libraries of Catalonia (CBUC)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.mdx.cat:10503/63947
Last time updated on 08/01/2019