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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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Bibliografiske detaljer
Principais autores: Junhong Li, Kaiwen Qiu, Rongju Yao, M. K. Moghimi, Dongmin Hao, Lijuan Wang, Liang Liang
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2026-03-01
Serier:Journal of Cloud Computing: Advances, Systems and Applications
Fag:
Online adgang:https://doi.org/10.1186/s13677-026-00853-1
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