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dc.contributor.authorCai, Yang
dc.contributor.authorDaskalakis, Constantinos
dc.date.accessioned2022-11-15T13:37:13Z
dc.date.available2022-11-15T13:37:13Z
dc.date.issued2022-07-12
dc.identifier.isbn978-1-4503-9150-4
dc.identifier.urihttps://hdl.handle.net/1721.1/146423
dc.publisherACM|Proceedings of the 23rd ACM Conference on Economics and Computationen_US
dc.relation.isversionofhttps://doi.org/10.1145/3490486.3538354en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 23rd ACM Conference on Economics and Computationen_US
dc.titleRecommender Systems meet Mechanism Designen_US
dc.typeArticleen_US
dc.identifier.citationCai, Yang and Daskalakis, Constantinos. 2022. "Recommender Systems meet Mechanism Design."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
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.updated2022-11-03T12:10:52Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T12:10:53Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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