Knowledge graph-based resume evaluation method, apparatus and device

Abstract

The invention provides a Knowledge graph-based resume evaluation method, apparatus and device. According to the embodiment of the invention, the resume knowledge graph is generated by utilizing the evaluated historical resumes in advance, and the resume knowledge graph comprises the correlation information of the resume information of the historical resumes relative to the post requirements; aiming at the unstructured information in the to-be-evaluated resume, the semantic components of the unstructured information in the to-be-evaluated resume can be labeled by utilizing the resume knowledgegraph; a first structure label capable of representing the unstructured information is obtained; correlation information of the unstructured information relative to the post requirements is obtained from the resume knowledge graph through the first structure label, the correlation information serves as the evaluation factor to determine the correlation of the to-be-evaluated resume relative to thetarget post, unstructured information in the resume can be understood and analyzed and serves as an important basis for evaluating the resume, the evaluation quality is improved, and human resource waste caused by manual resume evaluation is avoided.

Description

technical field [0001] This description relates to the field of data processing, in particular to methods, devices and equipment for evaluating resumes based on knowledge graphs. Background technique [0002] Resume is a common type of text. From a functional point of view, resume is an important means for job seekers to introduce themselves, sell themselves, and finally achieve effective communication. From the perspective of writing structure, resumes are often a semi-structured text. Semi-structured here means that there are usually structured information and unstructured information in the resume text. The structured information may be information that can be extracted through regular expression matching or template rule matching. Unstructured information may be information that does not conform to preset regular expressions or template rules, for example, unstructured information may be text paragraphs. In fact, a lot of information in a resume is contained in large ...

AI Technical Summary

Problems solved by technology

However, in the current technology, this information cannot be extracted during the parsing process, and it cannot be included in the final resume evaluation. Generally, it can only be evaluated by manual reading and evaluation after the entire paragraph is entered into the system.

Interviewers take a lot of time evaluating resumes

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