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dc.contributor.authorGupta, Aman
dc.contributor.authorKeerthi, S. Sathiya
dc.contributor.authorAcharya, Ayan
dc.contributor.authorCheng, Miao
dc.contributor.authorOcejo Elizondo, Borja
dc.contributor.authorRamanath, Rohan
dc.contributor.authorMazumder, Rahul
dc.contributor.authorBasu, Kinjal
dc.contributor.authorTay, J. Kenneth
dc.contributor.authorGupta, Rupesh
dc.date.accessioned2023-09-11T17:09:43Z
dc.date.available2023-09-11T17:09:43Z
dc.date.issued2023-08-06
dc.identifier.isbn979-8-4007-0103-0
dc.identifier.urihttps://hdl.handle.net/1721.1/152078
dc.publisherACM|Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Miningen_US
dc.relation.isversionofhttps://doi.org/10.1145/3580305.3599183en_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.sourceAssociation for Computing Machineryen_US
dc.titlePractical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inferenceen_US
dc.typeArticleen_US
dc.identifier.citationGupta, Aman, Keerthi, S. Sathiya, Acharya, Ayan, Cheng, Miao, Ocejo Elizondo, Borja et al. 2023. "Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference."
dc.contributor.departmentStatistics and Data Science Center (Massachusetts Institute of Technology)
dc.contributor.departmentSloan School of Management
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.updated2023-09-01T07:45:35Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-09-01T07:45:36Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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