Personnel selection method and device based on neural network and tree model, and equipment

Abstract

The invention discloses a personnel selection method and device based on a neural network and a tree model, equipment and a medium, and relates to the artificial intelligence technology. If a to-be-analyzed user data set uploaded by a user side is received, a current dimension division data subset corresponding to each piece of to-be-analyzed user data in the to-be-analyzed user data set is obtained, each current dimension division data subset corresponding to each piece of to-be-analyzed user data is converted into a corresponding input vector set, and the input vector set is input into a gradient boosting decision tree model, a convolutional neural network, a first Light GBM model and a second Light GBM model for operation separately, and a comprehensive prediction result set corresponding to each piece of to-be-analyzed user data in the to-be-analyzed user data set is obtained. Therefore, the collected data can be processed and analyzed, the characteristics of candidates can be calculated and screened comprehensively, qualified agents can be portrayed in multiple dimensions, and the data utilization rate is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent decision-making of artificial intelligence, in particular to a personnel selection method, device, equipment and medium based on a neural network and a tree model. Background technique [0002] At present, in the interview scenario, based on the interview conversation between the interviewer and the interviewer, the written test, the online test, etc., the user information with more and more dimensions of the interviewer is collected. However, the user data collected during these interviews is only stored in the server for simple data storage, and intelligent in-depth mining is not performed based on the collected user data to obtain more user reference data, which reduces the utilization of data. The high rate leads to the phenomenon of data islands, and the interviewer needs to obtain the data obtained in the interview process and then needs to manually analyze and calculate the required res...

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a personnel selection method, device, equipment and medium based on a neural network and a tree model, aiming to solve the problem of intelligent in-depth mining based on the collected user data in the interview scene in the prior art In order to obtain more user reference data, the utilization rate of data is reduced, which leads to the phenomenon of data islands, and the interviewer needs to obtain the data obtained during the interview process, and then needs to manually analyze and calculate the required results, which reduces the efficiency of data processing. question

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