Recommendations for Smoothing the Transition from Education to Career: A Heterogeneous Knowledge Graph Architecture for Career-Motivated Explainable Course Recommendation

Complexity science studies systems in which properties and behaviors emerge at meso- and macroscales that are difficult to predict and model by observing the properties and behaviors exhibited by the system’s components at smaller scales. The set of relationships that exist among post-secondary scho...

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Váldodahkkit:	Jacob Striebel, Rebecca Myers, Tatiana Ringenberg, Patrick C. Shih, Xiaozhong Liu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2026-02-01
Ráidu:	Knowledge
Fáttát:	information retrieval recommender systems explainable AI course recommendation career-based education knowledge graphs
Liŋkkat:	https://www.mdpi.com/2673-9585/6/1/5
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