Cloud-enabled style-aware artwork composite recommendation based on correlation graph

Recommending visually coherent and stylistically diverse sets of artworks is a challenging task in digital curation, interior design, and personalized visual content services. Unlike traditional recommendation problems that focus on individual item relevance, composite artwork recommendation require...

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Veröffentlicht in:	Journal of cloud computing : advances, systems and applications Jg. 14; H. 1; S. 68 - 13
Hauptverfasser:	Guo, Hongyuan, Anari, Maryam Saberi, Rezaee, Khosro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V SpringerOpen
Schlagworte:	Aesthetics Algorithms Art works Artwork style Cloud computing Collaborative Intelligence in Cloud – Synergy Between Large and Small Models Compatibility Composite recommendation Computer Communication Networks Computer Science Computer System Implementation Computer Systems Organization and Communication Networks Correlation graph Fashion models Graph theory Information Systems Applications (incl.Internet) Interior design Metadata Neural networks Parallel processing Performance evaluation Recommender systems Search algorithms Semantics Software Engineering/Programming and Operating Systems Special Purpose and Application-Based Systems Composite recommendation Cloud computing Artwork style Compatibility Correlation graph
ISSN:	2192-113X, 2192-113X
Online-Zugang:	Volltext
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