A resume evaluation method and device

Abstract

The invention discloses a resume evaluation method, comprising: selecting multiple groups of resumes, each group of resumes including a part of resumes corresponding to a plurality of feedback data including one kind of feedback action item and a plurality of resumes including another kind of feedback action item The other part of the resumes corresponding to the feedback data; for each group of resumes, construct feature vectors for one part of the resumes as negative samples, and construct feature vectors for the other part of the resumes as positive samples, and use the negative samples and positive samples to train and evaluate the model. A mapping relationship between feedback action items; a fusion evaluation model is established based on multiple evaluation models of multiple sets of resumes; the probability that a resume to be evaluated is associated with a target feedback action item is calculated through the fusion evaluation model. The invention also discloses a resume evaluation device. Through the evaluation scheme of the embodiment of the present invention, relatively accurate evaluation scores can be given to the resumes to be evaluated by using the resume feedback data, thereby providing powerful technical assistance for resume screeners.

Description

technical field [0001] The present invention relates to the field of Internet, in particular to a resume evaluation method and device. Background technique [0002] In recent years, with the development of Internet technology, the Internetization of the talent recruitment market has already become the mainstream. Large-scale comprehensive recruitment websites (such as 51Job, Zhaopin) and vertical recruitment websites in the Internet industry (such as Lagou, Boss Zhipin) cover most of the mid-to-high-end job seekers. In the case that the resumes of job seekers are generally digitized, how to use technology to help companies improve the efficiency of talent recruitment is an important issue for recruitment websites to enhance the competitiveness of the industry. [0003] At present, some mature technologies in this area mainly include: [0004] 1. Automatic analysis and information extraction of resume texts, using natural language understanding technology to extract key inf...

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Problems solved by technology

[0007] Although the above three types of technologies are all helpful to improve the efficiency of enterprise talent recruitment, these technologies focus on using natural language processing technology to match the information in each resume according to the needs of enterprise employment, and only play the role of primary selection. The immobilization of the conditions will lead to the missing of some suitable candidates. In many cases, the resume screeners still need to check the resumes one by one, so the help for the resume screeners is limited.

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