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Preference Handling (Tutorial on)

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorTsoukiàs, Alexis
HAL ID: 740501
ORCID: 0000-0001-5772-3988
hal.structure.identifierLaboratoire d'Informatique de Paris 6 [LIP6]
dc.contributor.authorViappiani, Paolo
HAL ID: 9572
ORCID: 0000-0002-7922-3877
dc.date.accessioned2017-01-19T10:14:13Z
dc.date.available2017-01-19T10:14:13Z
dc.date.issued2013
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16191
dc.language.isoenen
dc.subjectpreference modellingen
dc.subjectrecommender systemsen
dc.subject.ddc003en
dc.titlePreference Handling (Tutorial on)en
dc.typeCommunication / Conférence
dc.description.abstractenThe tutorial aims at introducing the general field that deals with techniques for representing, learning and reasoning with preferences. While the community of Recommender Systems has recently done extensive work in techniques for providing user recommendations in different settings, preferences have been formally studied since several decades (the community that studies preferences from a formal algorithmic point of view is now often called algorithmic decision theory). Preferences are a basic concept for several research fields such as economics, decision theory, game theory, artificial intelligence, classification, data bases, etc.; preferences constitute a key concept for the development of recommender systems since they represent the elementary information upon which recommendations are constructed. The tutorial will introduce both the formalisms more widely used to model and represent preferences as well as the procedures aimed at learning preferences and at producing a recommendation for an end-user (decision maker).en
dc.identifier.citationpages497-498en
dc.relation.ispartoftitleRecSys '13 Proceedingsen
dc.relation.ispartofeditorYang, Qiang
dc.relation.ispartofeditorKing, Irwin
dc.relation.ispartofeditorLi, Qing
dc.relation.ispartofpublnameACM Pressen
dc.relation.ispartofpublcityNew Yorken
dc.relation.ispartofdate2013
dc.relation.ispartofpages498en
dc.contributor.countryeditoruniversityotherFRANCE
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-1-4503-2409-0en
dc.relation.conftitle7th ACM conference on Recommender systemsen
dc.relation.confdate2013-10
dc.relation.confcityHong Kongen
dc.relation.confcountryChinaen
dc.relation.forthcomingnonen
dc.identifier.doi10.1145/2507157.2508065en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-01-19T09:53:59Z
hal.faultCode{"duplicate-entry":{"hal-01215237":{"doi":"1.0"}}}
hal.author.functionaut
hal.author.functionaut


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