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Preference Learning (Dagstuhl Seminar 14101) Fürnkranz, Johannes Hüllermeier, Eyke Rudin, Cynthia Slowinski, Roman Sanner, Scott machine learning preference learning preference elicitation ranking social choice multiple criteria decision making decision under risk and unce information retrieval 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Johannes Fürnkranz and Eyke Hüllermeier and Cynthia Rudin and Roman Slowinski and Scott Sanner 2014 Is Part Of Dagstuhl Reports, Volume 4, Issue 3 (2014) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.4.3.1 urn:nbn:de:0030-drops-45506 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.3.1 eng https://creativecommons.org/licenses/by/3.0/legalcode