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College Employment Recommendation Based on Improved K-Means Clustering and SimRank Algorithm in College Employment Management

This research aims to tackle the talent development problem in universities by creating a smart employment recommendation system for recent college graduates. By combining an enhanced K-means clustering algorithm and SimRank algorithm, a new clustering center selection method has been implemented th...

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Autore principale: Qinghe Wang
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
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Accesso online:https://ieeexplore.ieee.org/document/10654266/
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