Method, system and storage medium for job recruitment data screening based on machine learning

Abstract

The invention discloses a job recruitment data screening method, system and storage medium based on machine learning, including: step (1): collecting job recruitment data; obtaining suspected job recruitment information; step (2): using the suspected job recruitment information for job recruitment information and non-job recruitment information, train the classifier to obtain the classifier; step (3): use the classifier to classify all suspected job recruitment information, and obtain the job recruitment information database and non-job recruitment information database. The invention can quickly and accurately screen out the recruitment data of professional and technical posts that meet the needs of users.

Description

technical field [0001] The invention relates to a machine learning-based job recruitment data screening method, system and storage medium. Background technique [0002] With the increasing number of network security incidents around the world and the gradual implementation of a series of supporting policies and regulations, the demand for network security talents in domestic institutions has exploded. According to statistical data, relevant experienced talents with experience in the talent market are very scarce, and companies can only lower their requirements to fill job vacancies. [0003] For example, if a training institution wants to train some students who are going to engage in network security, in order to better promote the employment of the students, it is necessary to have a deep understanding of the skill requirements in the recruitment information released by the company, and the current network security technology is constantly being updated. Training instituti...

AI Technical Summary

Problems solved by technology

[0005] At present, how to filter out positions from a large amount of recruitment information, such as the data of network security positions, can only be filtered through manual methods or some simple screening methods. This method either consumes too much labor cost or accuracy Not high enough to collect a large amount of relevant data quickly, efficiently and accurately

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