Study of enterprise management training based on cluster computing
This paper studies the training of enterprise personnel recruitment management based on cluster computing. The study is mainly from the Angle of employment recommendation. First of all, this paper makes full use of the college graduates and the previous employment data, a sensitive-personal rank algorithm is proposed to calculate the interest sensitivity of different enterprises in the history recruitment data. Secondly, the sensitivity of enterprise interest is combined to improve the correlation calculation method between fresh graduates and previous graduates. Finally, the correlation results are combined with the trust of enterprises, and the employment of similar former graduates is recommended to fresh graduates, providing reference and guidance for their employment. The experimental result shows that RBSI achieves high recommendation accuracy and satisfaction.
KeywordsCluster computing Personnel training Sensitive-personal rank algorithm
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