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Preference Learning (Dagstuhl Seminar 14101)

Authors Johannes Fürnkranz, Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, Scott Sanner and all authors of the abstracts in this report

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DagRep.4.3.1.pdf
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  • 27 pages

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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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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.

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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) https://doi.org/10.4230/DagRep.4.3.1

Author Details

Johannes Fürnkranz
Eyke Hüllermeier
Cynthia Rudin
Roman Slowinski
Scott Sanner
and all authors of the abstracts in this report
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