Personal connection data generation method and device, computer equipment and storage medium

Abstract

The invention provides a personal connection data generation method, comprising the steps: obtaining first target data of a current candidate, wherein the first target data is used for representing the work experience and personal introduction information of the current candidate; obtaining preset second target data of the matched person; in response to a contact data generation request of the current candidate, generating a relationship matching degree between the current candidate and the matched person by using a preset matching model according to the first target data and the second targetdata; obtaining interpersonal connection data of the current candidate according to the relationship matching degree; and sending the personal connection data of the current candidate to a client fordisplay. According to the personal connection data generation method, the user data of the current candidate and the to-be-matched person is collected, and the collected user data is subjected to data processing according to the preset matching model to generate the personal connection data of the current candidate, so that the making efficiency of the personal connection data is improved, and manual investigation is not needed, and human resources are saved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method, device, computer equipment and storage medium for generating network data. Background technique [0002] Generally, enterprises with a certain scale need to manage the education experience, work experience, and other basic information of internal employees in order to understand the personal connections among employees in the enterprise more intuitively. When recruiting, candidates need to be Background investigation, in order to understand the candidate's personal connections within the company, and provide a reference for recruitment. [0003] In the existing technology, due to the large amount of data of employee information and enterprise candidate information, the personal relationship between candidates and internal employees of the enterprise is discrete and complex, and cannot be integrated uniformly, resulting in the inability to sort out ...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, due to the large amount of data of employee information and enterprise candidate information, the personal relationship between candidates and internal employees of the enterprise is discrete and complex, and cannot be integrated uniformly, resulting in the inability to sort out the personal relationship between candidates and internal employees

At present, when investigating the relationship between candidates and internal employees, HR researches the candidate's network situation, which requires a lot of manpower and time investment, or it is handed over to the supplier to analyze the background investigation, which consumes money and the authenticity remains to be seen. to consider

[0004] Therefore, in the prior art, it is inefficient and labor-intensive to sort out the personal connections between candidates and internal employees

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