Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation

Knowledge graph embedding (KGE) is effectively exploited in providing precise and accurate recommendations from many perspectives in different application scenarios. However, such methods that utilize entire embedded Knowledge Graph (KG) without applying information-relevance regulatory constraints...

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Detalles Bibliográficos
Autores principales: Khan, Nasrullah, Ma, Zongmin, Yan, Li, Ullah, Aman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075930/
https://www.ncbi.nlm.nih.gov/pubmed/35572050
http://dx.doi.org/10.1007/s10489-022-03235-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075930/
https://www.ncbi.nlm.nih.gov/pubmed/35572050
http://dx.doi.org/10.1007/s10489-022-03235-7

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