Training course recommendation method based on employee historical training information pertinence

Abstract

The invention relates to the technical field of computers. The invention specifically relates to a method for recommending training courses based on employee historical training information pertinence. The ability values of the employees are used as a breakthrough, the ability labeling attributes of the training courses are matched with the ability values of the employees based on the ability labeling attributes of the training courses, then judgment is conducted according to the principle that the higher the similarity degree of the course selection ability labeling attributes and the personal ability values of the employees is, the lower the probability is, and targeted training course recommendation is conducted based on the deep learning model. The problems that the training requirements are determined through traditional modes such as interviews and investigation, the workload is large, and the training demands of staff and departments cannot be comprehensively and accurately obtained are solved; courses introduced by a lot of resources and employee training organized by a lot of energy are not greatly helped to improve employee performance. Employees have deviations in theirown evaluations and in their understanding of department post requirements, hoping to participate in useful training during busy work.

Description

Technical field [0001] The invention relates to the field of computer technology, in particular to a method for targeted training course recommendation based on historical training information of employees. Background technique [0002] In the information age, with the continuous acceleration of corporate transformation, higher requirements are put forward for building high-performance teams and cultivating talents; existing traditional methods such as face-to-face interviews and surveys are used to determine training needs. The workload is large and it is impossible to obtain employees and departments comprehensively and accurately. Training appeals; courses introduced with a lot of resources and employee training organized with a lot of energy are not very helpful to the improvement of employee performance; employees have deviations in their own evaluation and understanding of departmental job requirements. Hope to participate during busy work Training. [0003] With the increas...

AI Technical Summary

Problems solved by technology

[0002] In the information age, with the continuous acceleration of enterprise transformation, higher requirements are put forward for building high-performance teams and cultivating talents; the existing traditional methods such as interviews and surveys determine training needs, the workload is heavy, and it is impossible to fully and accurately obtain employees and departments. The training appeals; the courses that cost a lot of resources to introduce, and the staff training that spend a lot of energy to organize are not very helpful to the improvement of employee performance; employees have deviations in their understanding of self-evaluation and departmental job requirements. It is hoped that it is useful to participate in the busy work training

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