Preference learning: Difference between revisions

Revision as of 02:11, 5 November 2024

Revision as of 02:12, 5 November 2024

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Another application of preference learning is [[recommender systems]].<ref>{{Citation |last=Gemmis |first=Marco de |title=Learning Preference Models in Recommender Systems |date=2010 |work=Preference Learning |pages=387–407 |editor-last=Fürnkranz |editor-first=Johannes |url=http://link.springer.com/10.1007/978-3-642-14125-6_18 |access-date=2024-11-05 |place= |publisher=Springer |language=en |doi=10.1007/978-3-642-14125-6_18 |isbn=978-3-642-14124-9 |last2=Iaquinta |first2=Leo |last3=Lops |first3=Pasquale |last4=Musto |first4=Cataldo |last5=Narducci |first5=Fedelucio |last6=Semeraro |first6=Giovanni |editor2-last=Hüllermeier |editor2-first=Eyke}}</ref> Online store may analyze customer's purchase record to learn a preference model and then recommend similar products to customers. Internet content providers can make use of user's ratings to provide more user preferred contents.

==See also==

*[[Learning to rank]]

==References==

{{Reflist}}

==External links==

*[http://www.preference-learning.org/ Preference Learning site]

[[Category:Information retrieval techniques]]