A school-enterprise talent two-way matching method based on financial capability portrait

By constructing a financial capability profile and improving the weighting method, combined with a bipartite graph matching algorithm, the problems of information asymmetry and single evaluation dimensions in the matching of talents between universities and enterprises are solved, and multi-dimensional accurate talent matching and dynamic optimization are achieved.

CN122288939APending Publication Date: 2026-06-26四川吉利学院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
四川吉利学院
Filing Date
2026-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The existing talent matching mechanism between universities and enterprises suffers from information asymmetry and a single evaluation dimension. Universities and enterprises find it difficult to accurately identify the financial literacy of talents and the financial soundness of enterprises, resulting in mismatch between people and positions and high talent turnover.

Method used

We construct financial capability profiles for enterprises and talents, employing a modified analytic hierarchy process (AHP) combined with entropy weighting and a bipartite graph matching algorithm. Based on financial capability indicators, we conduct two-way matching, assessing the financial literacy of enterprises and talents through indicators such as solvency and cash flow health. We then optimize the matching results using a dynamic feedback correction mechanism.

Benefits of technology

This has improved the accuracy of talent matching between universities and enterprises in multiple dimensions, reduced subjective judgment bias, enhanced the scientific nature and accuracy of matching, balanced enterprise needs with talent preferences, and reduced talent turnover.

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Abstract

This invention relates to the fields of data processing and talent matching technology, and in particular to a two-way matching method for university-enterprise talent based on financial capability profiling. The method includes: constructing a corporate financial capability profiling indicator system, including indicators of corporate financial stability and job financial capacity; constructing a talent financial capability profiling indicator system, including indicators of financial knowledge reserves, financial practice skills, financial risk awareness, and financial digitalization capabilities; collecting and preprocessing data from both the corporate and talent sides; calculating a comprehensive evaluation value based on a combined weighting method using an improved analytic hierarchy process (AHP) and entropy weighting method; constructing a corporate job demand vector and a talent supply vector; solving for the optimal matching scheme based on a bipartite graph matching algorithm, with the objective function of maximizing two-way matching satisfaction; and outputting the matching results. By constructing a two-dimensional evaluation system of corporate and talent financial capabilities, and using an improved weighting method and matching algorithm, a precise two-way matching of university and enterprise talent is achieved, improving the scientific nature of the matching.
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Citation Information

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