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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| Hovedforfatter: | |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2024-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10654266/ |
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