Author(s)

Keke Zhang ¹

Affiliation(s)

¹ Khoury College of Computer Science, Portland 04101, ME, United Stated

Corresponding Author

Keke Zhang

ABSTRACT

This paper focuses on the application and effectiveness analysis of think tank information processing technology in the cultivation of enterprise strategic research talents, emphasizing the solution to the current problem of insufficient data analysis and value mining of think tank information. By adopting think tank information processing technology based on adjoint data collection and decision tree algorithm, a fully structured think tank information system has been constructed, covering four levels: system, service, data, and application, to provide a more comprehensive and efficient information management and analysis platform. Especially, information processing methods based on decision tree algorithms can efficiently and accurately classify talent quality characteristics and match positions, thereby achieving personalized, precise, and real-time talent cultivation. The experimental results of this method show encouraging results, with an extremely high level of accuracy, providing technological innovation and support for the cultivation of strategic research talents in enterprises.

KEYWORDS

Think Tanks, Job Matching, Quality Characteristics, Decision Trees

CITE THIS PAPER

Keke Zhang, Application and Effect Analysis of Think Tank Information Processing Technology in Cultivating Strategic Research Talents in Enterprises. Information and Knowledge Management (2024) Vol. 5: 39-43. DOI: http://dx.doi.org/10.23977/infkm.2024.050106.

REFERENCES

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