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Evaluating Natural User Preferences for Selective Retrieval
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SYSNO ASEP 0331862 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Evaluating Natural User Preferences for Selective Retrieval Title Využití přirozených uživatelských preferencí při dotazování Author(s) Eckhardt, Alan (UIVT-O)
Vojtáš, Peter (UIVT-O)Source Title Proceedings of 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 3. - Los Alamitos : IEEE Computer Society, 2009 / Boldi P. ; Vizzari G. ; Pasi G. ; Baeza-Yates R. - ISBN 978-0-7695-3801-3 Pages s. 104-107 Number of pages 4 s. Action WI-IAT 2009 Workshops. IEEE/WIC/ACM 2009 International Conference on Web Intelligence and Intelligent Agent Technology Event date 15.09.2009-18.09.2009 VEvent location Milan Country IT - Italy Event type WRD Language eng - English Country US - United States Keywords data-mining ; user preferences ; decision support Subject RIV IN - Informatics, Computer Science R&D Projects 1ET100300517 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) GD201/09/H057 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000279801400026 DOI 10.1109/WI-IAT.2009.241 Annotation Learning user preferences is a complex area, especially difficult for performing experiments - every person is different and has different preferences, which often change in time. In this paper, we propose a method for testing a preference learning method that is in a sense more general than our previous attempts of testing an inductive method. We address the issue of limited rating set that results on larger datasets into more objects with the highest rating. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2010
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