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Style-aware artwork recommendation with cloud-edge collaborative knowledge graphs

Abstract With the rapid digitization of the art industry, the demand for intelligent artwork recommendation systems that understand stylistic compatibility has grown substantially. However, existing methods often focus on individual artwork similarity while overlooking higher-order correlations amon...

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Bibliografische gegevens
Hoofdauteurs: Junhong Li, Kaiwen Qiu, Rongju Yao, M. K. Moghimi, Dongmin Hao, Lijuan Wang, Liang Liang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: SpringerOpen 2026-03-01
Reeks:Journal of Cloud Computing: Advances, Systems and Applications
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Online toegang:https://doi.org/10.1186/s13677-026-00853-1
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