Machine learning based recruitment information analyzing system and method thereof

Abstract

The invention relates to a machine learning based recruitment information analyzing system and a method thereof. The analyzing system comprises a data acquisition model and a machine learning model, wherein the data acquisition model is used for crawling and analyzing irregular recruitment webpage information of internet recruiting websites and generating training data; the machine learning model comprises a single information source model and a comprehensive model for processing various information sources, the single information source model is obtained through training of single information source module classification data in the training data, the comprehensive model is obtained through training of comprehensive information detailed classification data in the training data, the internet recruiting websites, the data acquisition model and the machine learning model are connected, and the adopted machine learning model is a conditional random field model. The training data is obtained after recruitment webpage information is analyzed, and then is classified in detail, specific statement blocks and phrases in the recruitment information are classified and annotated by the conditional random field model in the machine learning model, data which cannot be matched with a regular expression are processed, and the problem about analysis of the recruitment information of a complicated or new position is effectively solved.

Description

technical field [0001] The present invention relates to a recruitment information analysis system, and more specifically refers to a machine learning-based recruitment information analysis system and a method thereof. Background technique [0002] Existing recruitment information parsing and analysis systems can only use artificially formulated rules to extract various needs and responsibilities of corporate recruitment positions, and cannot effectively analyze the parsed information. [0003] However, with social development and the subdivision of industry functions, the complexity of recruitment resume information has greatly increased, and the writing format is quite different, which has caused analysis difficulties for the original analysis system. The rules artificially formulated through regular expressions can no longer meet the accuracy requirements of current recruitment information analysis and further analysis of its recruitment goals. Contents of the invention ...

AI Technical Summary

Problems solved by technology

[0002] Existing recruitment information parsing and analysis systems can only use artificially formulated rules to extract the various needs and responsibilities of corporate recruitment positions, and cannot effectively analyze the parsed information

[0003] However, with social development and the subdivision of industry functions, the complexity of recruitment resume information has greatly increased, and the writing format is quite different, which has caused analysis difficulties for the original analysis system.

The rules artificially formulated through regular expressions can no longer meet the accuracy requirements of the current recruitment information analysis, and the needs of further analysis of its recruitment goals

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