Efficient and accurate internal post recommendation process system

Abstract

The invention provides an efficient and accurate internal post recommendation process system. The efficient and accurate internal post recommendation process system comprises the following steps: S1, creating a customized QBSAI model, and constructing artificial intelligence data modeling suitable for a company by inputting two parameters of typical post description and post hierarchy list of each post type of the company; and S2, recommending positions through the constructed QBSAI model. According to the efficient and accurate internal post recommendation process system provided by the invention, the QBS system analyzes post information feature extraction by performing semantic analysis and understanding on each post description, so that effective classification of post information is realized, the accuracy is higher and more reliable, the QBS uses a function information division list of internal human resources of a company and current post information of employees, and the post recommendation efficiency is improved. The problem that the resume cannot be used due to unwilling to upload, unwilling to update, personal information sensitivity and the like is effectively solved.

Description

technical field [0001] The invention relates to the field of job recommendation, in particular to an efficient and accurate internal job recommendation process system. Background technique [0002] How to intelligently match job seeker information and job posting information and recommend suitable jobs to potential job seekers has always been a concern of recruitment companies, job seekers, headhunters and job search websites. The solutions generally include two main solutions: Option 1: Use keywords to search the resume information of job seekers, or search the keywords of the full text of the recruitment position, and then filter through manual matching, and finally find the positions that match the positions. Then make a job recommendation. Option 2: job seekers tag their own skills. On the other hand, the company that publishes the job also tags the key skills or work experience of the recruited position. Through system or artificial intelligence matching, intelligent ...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides an efficient and accurate internal job recommendation process system, which solves the problem of heavy workload of the recruitment department caused by manual classification of job description information, and inaccurate classification of resume information by job seekers, mainly due to unwillingness or failure to update label classification in time Information, resulting in the inability to match real job-seeking skills for job posting, keyword search matching leads to low matching accuracy, lack of job seekers' resumes or data updates lead to unreliable data source information

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