Efficient Bi-Level Optimization for Recommendation Denoising

Wang, Z Gao, M Li, W

Yu, J Guo, L Yin, H

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, pp. 2502-2511
Issue Date:: 2023-08-06

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Field	Value	Language
dc.contributor.author	Wang, Z
dc.contributor.author	Gao, M
dc.contributor.author	Li, W https://orcid.org/0000-0003-4941-8814
dc.contributor.author	Yu, J
dc.contributor.author	Guo, L
dc.contributor.author	Yin, H
dc.date.accessioned	2024-06-13T21:22:15Z
dc.date.available	2024-06-13T21:22:15Z
dc.date.issued	2023-08-06
dc.identifier.citation	Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, pp. 2502-2511
dc.identifier.uri	http://hdl.handle.net/10453/179519
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation.ispartof	Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
dc.relation.ispartof	Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
dc.relation.isbasedon	10.1145/3580305.3599324
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Efficient Bi-Level Optimization for Recommendation Denoising
dc.type	Conference Proceeding
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-06-13T21:22:13Z
pubs.publication-status	Published

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