Graph Learning for Fashion Compatibility Modeling

Guan, W; Song, X; Chang, X; Nie, L

Graph Learning for Fashion Compatibility Modeling

Guan, W Song, X Chang, X

Nie, L

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Publisher:: Springer Nature
Publication Type:: Book
Citation:: 2022, 2, pp. 1-112
Issue Date:: 2022

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Full metadata record

Field	Value	Language
dc.contributor.author	Guan, W
dc.contributor.author	Song, X
dc.contributor.author	Chang, X https://orcid.org/0000-0002-7778-8807
dc.contributor.author	Nie, L
dc.date.accessioned	2023-03-29T19:41:50Z
dc.date.available	2023-03-29T19:41:50Z
dc.date.issued	2022
dc.identifier.citation	2022, 2, pp. 1-112
dc.identifier.isbn	978-3-031-18816-9
dc.identifier.uri	http://hdl.handle.net/10453/168803
dc.description.abstract	Presents state-of-the-art theories to illustrate more challenging outfit compatibility modeling scenarios Discusses graph-learning based outfit compatibility models, which have been proven effective over real-world datasets Introduces fashion compatibility modeling to automatically justify the matching degree of complementary fashion items
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartofseries	Synthesis Lectures on Information Concepts, Retrieval, and Services
dc.relation.isbasedon	10.1007/978-3-031-18817-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Graph Learning for Fashion Compatibility Modeling
dc.type	Book
utslib.citation.edition	2
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	*
pubs.consider-herdc	false
dc.date.updated	2023-03-29T19:41:49Z
pubs.edition	2
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
dc.location	Switzerland

Abstract:

Presents state-of-the-art theories to illustrate more challenging outfit compatibility modeling scenarios Discusses graph-learning based outfit compatibility models, which have been proven effective over real-world datasets Introduces fashion compatibility modeling to automatically justify the matching degree of complementary fashion items

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168803