Maisui AI interviewer project (hereinafter referred to as "Maisui") is a concrete practice of combining artificial intelligence technology with recruitment scenarios. This project is like a high-quality engine, and the recruitment scene is like a vehicle. What Maisui needs to do is to provide an artificial intelligence technology needed for a "vehicle" recruitment scene. Maisui will export its high-quality technology to customers to help the human resources industry achieve talent recruitment more efficiently and with better quality.
At present, some large recruitment websites, such as Zhaopin, have no worries about the future, and there are also smart recommendations based on big data. Compared with the application of these recommendation technologies, Maisui is more systematic in the recommendation technology of matching people with posts.
For job recruitment, Maisui has a comprehensive scoring system. In this system, the technologies involved include: search engine, machine learning, natural language processing, knowledge mapping and so on.
From the most basic resume screening, to the analysis of talent recommendation, to the natural language processing technology to extract the contents of resumes in different formats, and then to judge the professional skills involved in talent resumes with the help of knowledge map technology. With this set of technology, Maisui will comprehensively rank the resumes of talents in storage, which will be directly reflected in the recommendation results of talent job matching.
Despite the support of professional data, in the traditional recruitment scenario, the selection of an excellent talent involves many factors, including talent education background, work experience, skills accumulated in past work and so on. Once a talent fails to meet the standard because of a certain requirement, the chances of this talent entering the HR interview will often be greatly reduced.
In order to solve this problem, Maisui will do some fine-grained analysis in the process of technology matching, including the skills of job seekers, whether the mastery level is consistent, and the specific description of work experience. In this process, Mai Sui will make full use of his own machine learning technology to make semantic analysis on his resume.
In addition, the technology provided by Maisui will also analyze and track the behavior of job seekers. What positions did users actively search for? What are the voluntary positions in history? There are also some employers who have been hacked before. These behaviors will be recorded by technical means, so that job seekers and recruitment companies can better match.
It is precisely because of this multi-dimensional talent resume matching method that Maisui can innovate in the traditional talent recommendation method of recruitment enterprises. As Wang said, the ears of wheat grew and optimized on the shoulders of many experiences and giants.