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Psychometrics / Choice modelling / Preference / Model theory / Aggregation problem / Economics / Microeconomics / Pairwise comparison


Journal of Machine Learning Research1022 Submitted 10/12; Revised 9/13; Published 3/14 New Learning Methods for Supervised and Unsupervised Preference Aggregation
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Document Date: 2014-03-31 14:49:59


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File Size: 1,43 MB

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Permutation / Toronto / /

Company

Kendall / Microsoft / /

Country

Lebanon / /

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Facility

University of Toronto / /

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meta-search problem / search engine optimization / meta-search instances / social web analysis / user-oriented web application ranging / large scale online problems / web page clicks / online games / large web data sets / search engines / large search space / approximate solution / meta-search engine / real world applications / online applications / social networks / social and other web domains / unsatisfactory solution / web technologies / online gaming / search engine / web shops / /

Organization

University of Toronto / /

Person

Mase / Bradley / Richard S. Zemel / Maksims N. Volkovs / Terry / /

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Editor / model / player / /

Product

LETOR4.0 / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

web technologies / search engine / Machine Learning / /

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