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dc.contributor.authorCurmei, Mihaela
dc.contributor.authorHaupt, Andreas
dc.contributor.authorHadfield-Menell, Dylan
dc.contributor.authorRecht, Benjamin
dc.date.accessioned2022-11-03T17:55:11Z
dc.date.available2022-11-03T17:55:11Z
dc.date.issued2022-09-18
dc.identifier.isbn978-1-4503-9278-5
dc.identifier.urihttps://hdl.handle.net/1721.1/146130
dc.publisherACM|Sixteenth ACM Conference on Recommender Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3523227.3546778en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Sixteenth ACM Conference on Recommender Systemsen_US
dc.titleTowards Psychologically-Grounded Dynamic Preference Modelsen_US
dc.typeArticleen_US
dc.identifier.citationCurmei, Mihaela, Haupt, Andreas, Hadfield-Menell, Dylan and Recht, Benjamin. 2022. "Towards Psychologically-Grounded Dynamic Preference Models."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T01:07:38Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T01:07:38Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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