Career Tech platform Saramin (CEO Kim Yong-hwan) announced that it has launched the ‘Ai matching report’ service. “Ai Matching Report” is a service that shows how much people’s recommended announcements match the attributes and needs of job seekers, and reports in detail why they were recommended.

The matching rate analyzes 80 million two-way data considering both job seekers and companies’ positions, such as attributes such as education, experience, and job skills written in the ▲ job search and support behavior data ▲ company’s preferred human resource conditions, and expresses up to 99% as a percentage to determine the suitability of the job. Through this, strategic employment and turnover activities that quickly search for announcements with high matching rates and apply for jobs are possible.

It is also characterized by not only displaying the simple matching rate, but also explaining in detail why the announcement was recommended. It implements “XAI,” a next-generation AI technology that informs the reasons for recommendation, and represents various recommendation factors such as matching key keywords on announcements and resumes, matching job skills and announcement requirements, and holding a company’s preferred tendency. Accordingly, job seekers can identify their strengths in the application announcement and appeal in future screening.

In addition, algorithms used to recommend public announcements were also presented as a basis to increase reliability. ▲Competitive analysis that analyzes other applicants with similar behaviors to me ▲Relationship rule analysis that finds relevance in the actions of public announcement applicants ▲Content analysis that compares keywords in public announcement and resume also tells the proportion of human AI’s algorithms used in recommendations.

The Person Ai Matching Report service also provides tips for modifying resumes that can increase the matching rate based on the results of two-way analysis. In addition, job seekers who took the personality test compared and analyzed the job and personality test results of the application notice and showed quantification of job suitability to enhance the convenience of searching for the notice.