Industrial Problem Solution
Improve job matching accuracy for job seekers and job seekers
2020-06-121. Company introduction
SmartSocial Co., Ltd. was founded in 2012 and is taking the lead in solving social problems by utilizing big data.
Major business areas include resolution of job mismatching, public works, youth employee tomorrow deduction, small business exploration project, youth tomorrow morning deduction operation support, student employment management, etc.
2. Problem Background and Summary
Based on the National Competency Standards (NCS), a matching algorithm using the enterprise's own standards required mathematical analysis and visualization of data produced during the development and operation of the platform.
The aim is to analyze the relationship between the data held, to classify student propensity and to create visualizations that can be understood by the general public.
Research is needed for classifying and processing information that students write themselves or collect from schools, and for analysis of text documents (student-generated portfolios), such as checking the consistency between the content of the portfolio and the classification of NCS jobs.
3. Solving Process
The institute presented methods of data calculation and mathematical visualization for job matching analysis.
Presentation and analysis methods of the Recurring Genome Map (student classification using K-NN clustering) created through matching scores between students and corporate practice calculated from matching algorithms were presented.
System division for smooth management according to the increase in information collected (Score Algorithms 1, 2 and Matching Algorithms division) was presented.
Through natural language processing-word frequency analysis for NCS classifications analysis, prototype type development and prototype of job similarity check NCS filter were presented.
4. Ripple effects and future plans
Based on the results of task matching analysis data calculation, it has ed installing a platform for visualization contents (such as Recurring Genome Map-Heatmap, Job Tree-Tree Diagram, etc.).
By using NCS filter, it succeeded in attracting investment for chatbot development.
It is planning to support small and medium venture business department's new product development project in 2018.
1. Company introduction
SmartSocial Co., Ltd. was founded in 2012 and is taking the lead in solving social problems by utilizing big data.
Major business areas include resolution of job mismatching, public works, youth employee tomorrow deduction, small business exploration project, youth tomorrow morning deduction operation support, student employment management, etc.
2. Problem Background and Summary
Based on the National Competency Standards (NCS), a matching algorithm using the enterprise's own standards required mathematical analysis and visualization of data produced during the development and operation of the platform.
The aim is to analyze the relationship between the data held, to classify student propensity and to create visualizations that can be understood by the general public.
Research is needed for classifying and processing information that students write themselves or collect from schools, and for analysis of text documents (student-generated portfolios), such as checking the consistency between the content of the portfolio and the classification of NCS jobs.
3. Solving Process
The institute presented methods of data calculation and mathematical visualization for job matching analysis.
Presentation and analysis methods of the Recurring Genome Map (student classification using K-NN clustering) created through matching scores between students and corporate practice calculated from matching algorithms were presented.
System division for smooth management according to the increase in information collected (Score Algorithms 1, 2 and Matching Algorithms division) was presented.
Through natural language processing-word frequency analysis for NCS classifications analysis, prototype type development and prototype of job similarity check NCS filter were presented.
4. Ripple effects and future plans
Based on the results of task matching analysis data calculation, it has ed installing a platform for visualization contents (such as Recurring Genome Map-Heatmap, Job Tree-Tree Diagram, etc.).
By using NCS filter, it succeeded in attracting investment for chatbot development.
It is planning to support small and medium venture business department's new product development project in 2018.