Position knowledge graph generation method and system

Abstract

The invention relates to a position knowledge graph generation method and system. The method comprises the following steps: establishing a corpus with different data states based on a position description data set, a personal resume data set and an encyclopedia knowledge data set; recalling an entity from the corpus through an entity recall model to obtain a graph entity, the entity being a noun or a noun word group; extracting the relation between the entities from the encyclopedia knowledge data set through a relation extraction model, the relation between the entities being included or similar; and establishing a mapping relationship between the entities according to the relationship between the entities. By means of the map, the resume of the job hunting user and the position description of the recruitment user serve as basic information, keywords of the basic information are extracted through semantics, the entities in the map provided by the invention are matched for the keywords, and therefore the requirements of the user can be deeply understood, and implicit information in the requirement information can be obtained.

Description

technical field [0001] The present invention relates to a knowledge graph, in particular to a method and system for generating a position knowledge graph applied to a recruitment platform. Background technique [0002] The recruitment platform is an information platform widely used by people in the modern information society. On the one hand, job seekers can search for positions that match their expectations through the search engine on the recruitment platform. Usually, the search engine provides a single option or multiple options to determine the search criteria. These search options are usually some of the options that job seekers care about most. For example, "Industry", "Function", "Salary Range", "Nature of Company", "Work Location", etc. In fact, the search conditions determined by these determined search options are too broad for the massive information. First, a large amount of job information may be searched. For these large amount of job information, the job se...

AI Technical Summary

Problems solved by technology

However, because job seekers describe key information such as positions and skills in their resumes or related job requirements and recruiters in their re

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