o Algorithm:

data mining and analysis, AI, machine learning, text analysis

· Data collection:

collect job advertisements from various sources, including websites, social media, job fairs, inbound promotion, etc. to form a massive recruitment database.

· Data analysis:

analyze the recruitment data by statistics, classification, clustering, correlation, regression, etc., from which it can find out the laws and patterns of the data, and extract valuable information, such as what skills are needed by the enterprises, what talents are needed for what positions, and what trends of the industry

· Customized services:

provide customized data analysis services according to the needs of companies and job seekers, helping them to better understand the market situation and develop hiring strategies and job search strategies.

Application Scenario:

Enterprise ecruitment:

a recruiter of an enterprise to recruit suitable talents, to understand the situation of the recruitment market, such as the recruitment information of competitors, the supply and demand of talents in the industry, and the salary level of the position, etc., to formulate reasonable recruitment plans and budgets, publish effective recruitment advertisements, and screen the excellent candidates, to improve the success rate and efficiency of the recruitment.

Job hunting search:

a job seeker to find an ideal job, to understand the needs of the recruitment market, such as the recruitment requirements of enterprises, the skill requirements of the position, the development prospects of the industry, etc., improve your resume and self-introduction, look for positions that meet your conditions and interests.

Job Posting Data Analysis

pateikė Alpha Analytics and Information Technology Inc