Equivariant Contrastive Learning for Sequential Recommendation

Zhou, P Gao, J Xie, Y Ye, Q Hua, Y Kim, J Wang, S

Kim, S

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 17th ACM Conference on Recommender Systems, 2023, pp. 129-140
Issue Date:: 2023-09-14

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Full metadata record

Field	Value	Language
dc.contributor.author	Zhou, P
dc.contributor.author	Gao, J
dc.contributor.author	Xie, Y
dc.contributor.author	Ye, Q
dc.contributor.author	Hua, Y
dc.contributor.author	Kim, J
dc.contributor.author	Wang, S https://orcid.org/0000-0003-1133-9379
dc.contributor.author	Kim, S
dc.date.accessioned	2023-10-31T23:41:37Z
dc.date.available	2023-10-31T23:41:37Z
dc.date.issued	2023-09-14
dc.identifier.citation	Proceedings of the 17th ACM Conference on Recommender Systems, 2023, pp. 129-140
dc.identifier.uri	http://hdl.handle.net/10453/172918
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation.ispartof	Proceedings of the 17th ACM Conference on Recommender Systems
dc.relation.ispartof	Proceedings of the 17th ACM Conference on Recommender Systems
dc.relation.isbasedon	10.1145/3604915.3608786
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Equivariant Contrastive Learning for Sequential Recommendation
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	2023-10-31T23:41:36Z
pubs.publication-status	Published

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