Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation

Guan, W Song, X Zhang, H Liu, M Yeh, C-H Chang, X

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 30th ACM International Conference on Multimedia, 2022, pp. 268-276
Issue Date:: 2022-10-10

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Full metadata record

Field	Value	Language
dc.contributor.author	Guan, W
dc.contributor.author	Song, X
dc.contributor.author	Zhang, H
dc.contributor.author	Liu, M
dc.contributor.author	Yeh, C-H
dc.contributor.author	Chang, X https://orcid.org/0000-0002-7778-8807
dc.date.accessioned	2023-03-31T10:12:06Z
dc.date.available	2023-03-31T10:12:06Z
dc.date.issued	2022-10-10
dc.identifier.citation	Proceedings of the 30th ACM International Conference on Multimedia, 2022, pp. 268-276
dc.identifier.uri	http://hdl.handle.net/10453/168974
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation	http://purl.org/au-research/grants/arc/DE190100626
dc.relation.ispartof	Proceedings of the 30th ACM International Conference on Multimedia
dc.relation.ispartof	Proceedings of the 30th ACM International Conference on Multimedia
dc.relation.isbasedon	10.1145/3503161.3548020
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit 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
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-31T10:12:03Z
pubs.publication-status	Published

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