Preference learning: Difference between revisions

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'''Preference learning''' is a subfield in [[machine learning]] in which the goal is to learn a predictive [[Preference (economics)|preference]] model from observed preference information.<ref>{{Cite Mehryar Afshin Ameet 2012}}</ref> In the view of [[Mehryarsupervised Mohrilearning]], Afshinpreference Rostamizadeh,learning Ameettrains Talwalkaron (2012)a ''Foundationsset of Machineitems Learning'',which have preferences toward labels or other items and predicts the preferences for all Theitems.

MIT Press ISBN 9780262018258.</ref> In the view of [[supervised learning]], preference learning trains on a set of items which have preferences toward labels or other items and predicts the preferences for all items.

While the concept of preference learning has been emerged for some time in many fields such as [[economics]],<ref name="SHOG00" /> it's a relatively new topic in [[Artificial Intelligence]] research. Several workshops have been discussing preference learning and related topics in the past decade.<ref name="WEB:WORKSHOP" />