Root cause analysis-based course recommendation method and device, equipment and medium

Abstract

The invention relates to the field of artificial intelligence, and provides a course recommendation method and device based on root cause analysis, equipment and a medium, which can identify a label of each course in course data, construct a training sample training prediction model according to the label of each course and the course data, and according to the prediction model, an improved ID3 algorithm is adopted to calculate the information entropy of each label, the information gain of each label is calculated according to the information entropy of each label, a course recommendation list is generated according to the information gain of each label, and the ID3 algorithm is combined to perform root cause analysis on the influence of training courses on performance, so that interpretability and accuracy of an analysis result are ensured, and the training efficiency is improved. Training courses having great influence on performance are analyzed in an auxiliary manner, and then automatic recommendation of the courses is realized in combination with an artificial intelligence means, so that continuous tracking, performance improvement and retention are carried out, and training really assists team improvement and individual development. In addition, the invention also relates to a block chain technology, and the prediction model can be stored in a block chain node.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a course recommendation method, device, equipment and medium based on root cause analysis. Background technique [0002] Every department in the enterprise needs regular training to improve the ability of employees. However, at present, training courses can only be determined through subjective judgments. Due to the lack of understanding of the value of training courses, it is impossible to grasp the impact of training course types on performance goals. It is difficult to identify the training courses that have a greater impact on performance, and it is impossible to effectively and targetedly track the training process and evaluate the training results. [0003] In view of the above situation, in the prior art, methods such as correlation calculation are usually used to find the most valuable course, but the meaning of the recommendation result obtained b...

AI Technical Summary

Problems solved by technology

[0002] Every department in the enterprise needs regular training to improve the ability of employees. However, at present, training courses can only be determined through subjective judgments. Due to the lack of understanding of the value of training courses, it is impossible to grasp the impact of training course types on performance goals. and retention indicators, it is difficult to identify training courses that have a greater impact on performance, and it is impossible to effectively and targetedly track the training process and evaluate the training results

[0003] In view of the above situation, in the prior art, methods such as correlation calculation are usually used to find the most valuable course, but the meaning of the recommendation result obtained by this method is ambiguous, the interpretability is not strong, and only the correlation is used for calculation, The reliability of the results also needs to be improved, and the accuracy is not enough

Images