A resume evaluation method and device

Abstract

The invention discloses a resume evaluation method, comprising: acquiring a plurality of first resumes and first feedback data thereof, and evaluating a part of the first resumes among the plurality of first resumes corresponding to the first feedback data including positive feedback action items Constructing feature vectors as multiple positive samples, constructing feature vectors as multiple negative samples for another part of the first resume corresponding to the first feedback data including negative feedback action items in multiple first resumes, positive feedback action items represent the first A resume is associated with a positive feedback action, and a negative feedback action item indicates that the first resume is associated with a negative feedback action; multiple positive samples and multiple negative samples are used to train the evaluation model to learn the mapping relationship between feature vectors and positive feedback action items; And calculate the evaluation score of the resume to be evaluated about the positive feedback action item through the 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.

Description

technical field [0001] The invention relates to the Internet field, 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 comprehensive recruitment websites (such as 51Job, Zhaopin.com) and Internet industry vertical recruitment websites (such as Lagou, Boss Zhipin) cover most of the middle and high-end job seekers. Under the circumstance 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 their competitiveness in 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 inform...

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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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