Preference Learning

Fürnkranz, Johannes; Hüllermeier, Eyke ; Rudin, Cynthia; Slowinski, Roman and Sanner, Scott (eds.) (2014): Preference Learning. Report from Dagstuhl Seminar 14101. Dagstuhl Reports, Vol. 4. Dagstuhl: Schloss Dagstuhl, Leibniz-Zentrum fuer Informatik.

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 motivation for 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.

• Item Type: Editorship
• Keywords: machine learning, preference learning, preference elicitation, ranking, social choice, multiple criteria decision making, decision under risk and unce
• Faculties: Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• Place of Publication: Dagstuhl
• Language: English