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Preference Learning (Dagstuhl Seminar 14101)

Authors: Johannes Fürnkranz, Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner

Published in: Dagstuhl Reports, Volume 4, Issue 3 (2014)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14101 "Preference Learning". Preferences have recently received considerable attention in disciplines such as machine learning, knowledge discovery, information retrieval, statistics, social choice theory, multiple criteria decision making, decision under risk and uncertainty, operations research, and others. The goal of this seminar was to showcase recent progress in these different areas with the goal of working towards a common basis of understanding, which should help to facilitate future synergies.

Cite as

Johannes Fürnkranz, Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. Preference Learning (Dagstuhl Seminar 14101). In Dagstuhl Reports, Volume 4, Issue 3, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@Article{furnkranz_et_al:DagRep.4.3.1,
  author =	{F\"{u}rnkranz, Johannes and H\"{u}llermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott},
  title =	{{Preference Learning (Dagstuhl Seminar 14101)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{3},
  editor =	{F\"{u}rnkranz, Johannes and H\"{u}llermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.3.1},
  URN =		{urn:nbn:de:0030-drops-45506},
  doi =		{10.4230/DagRep.4.3.1},
  annote =	{Keywords: machine learning, preference learning, preference elicitation, ranking, social choice, multiple criteria decision making, decision under risk and unce information retrieval}
}
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