Considering data-mining techniques in user preference learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F08%3A00206106" target="_blank" >RIV/00216208:11320/08:00206106 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Considering data-mining techniques in user preference learning
Original language description
Annotation in the original language is: In this paper we deal with the problem of learning user preferences from user?s scoring of a small sample of objects with labels from a very small linearly ordered set. The main task of this process is to use thesepreferences for a top-k query, which delivers the user with an ordered list of k highest ranked objects. We deal with a problem of many ties in the highest score. Two algorithms for learning objective and utility functions are presented. We experiment and compare them to some classical data-mining methods. We use several measures (RMSE and rank correlations ...) to evaluate efficiency of these methods.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2008 IEEE/WIC/ACM International Conference on Web Intelligence And Intelligent Agent Technology
ISBN
978-0-7695-3496-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
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Event location
Neuveden
Event date
Jan 1, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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