A resume evaluation method and device

Abstract

The invention discloses a resume evaluation method, comprising: acquiring a plurality of first resumes corresponding to a plurality of first feedback data including a first feedback action item, and constructing a feature vector for each first resume as a negative sample; A plurality of second resumes corresponding to a plurality of second feedback data of the second feedback action item are included, and a feature vector is constructed for each second resume as a positive sample; the positive sample and the negative sample are used to train the evaluation model to learn the feature vector and the second resume. feedback the mapping relationship between the action items; and calculate the probability that the resume to be evaluated is associated with the second feedback action under the condition of being associated with the first feedback action according to the mapping relationship based on the feature vector of the resume to be evaluated. The invention also discloses a resume evaluation device. Through the evaluation solution 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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