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September 10, 2025Journal of social science and cultural development.

Research on the Construction and Optimization of Employment and Entrepreneurship Service System for College Students Driven by Big Data

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Big data-driven service systems can enhance resource allocation efficiency and improve service relevance for college students.
Data mining algorithms significantly aid in employment trend prediction and entrepreneurial opportunity identification.
The study addresses structural weaknesses in traditional service systems, particularly regarding data integration and demand matching.
A closed-loop service model involving data collection, intelligent analysis, and effectiveness feedback is proposed for optimizing services.

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Implication

Research demonstrates the impact of big data on employment services and entrepreneurship for college students, highlighting improved matching and service relevance.

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Yunliang Wang (2025) studied this question.

synapsesocial.com/papers/68c1d97d54b1d3bfb60fb213 https://doi.org/10.70767/jsscd.v2i3.615

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Implication

Research demonstrates the impact of big data on employment services and entrepreneurship for college students, highlighting improved matching and service relevance.

Research on the Construction and Optimization of Employment and Entrepreneurship Service System for College Students Driven by Big Data

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Implication

Cite This Study

Research on the Construction and Optimization of Employment and Entrepreneurship Service System for College Students Driven by Big Data

Key Points

Discussion

Implication

Cite This Study

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