High-level talent subject evaluation method based on big data analysis

A high-level, big data technology, applied in the field of data processing, can solve problems such as inaccurate subject division results and inaccurate division

Pending Publication Date: 2022-02-15
杭州青塔科技有限公司
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Problems solved by technology

[0003] The existing subject evaluation methods for high-level talents are generally judged according to the discipline in which the papers are published. The journal judgment method is used, and all articles published in a certain journal are attributed to a certain discip

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  • High-level talent subject evaluation method based on big data analysis

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[0052] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0053] like figure 1Shown is a high-level talent subject assessment method based on big data analysis in this application, which includes the following steps: Step S1: Build a high-level talent database, which includes several high-level talents and their corresponding talent information. Step S2: Analyze and process the high-level talent database to obtain a high-level talent information vector library. The high-level talent information vector library includes high-level talents and their corresponding attribute vectors, and the attribute vectors include multiple vector dimensions. Step S3: Set a corresponding importance weight for each vector dimension of the attribute vector. Step S4: Filter out the corresponding subject set according to the information of each vector dimension in the attribute vector. The subject set contains several...

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Abstract

The invention discloses a high-level talent subject evaluation method based on big data analysis. The method comprises the following steps: constructing a high-level talent database; analyzing and processing the high-level talent database to obtain a high-level talent information vector library; setting a corresponding importance weight for each vector dimension of the attribute vector; according to the information of each vector dimension in the attribute vector, screening out a subject set corresponding to the attribute vector, wherein the subject set comprises a plurality of subjects, and each subject in the subject set is marked with a corresponding importance weight; combining all the screened subject sets to obtain a total subject set, and when the subject sets are combined, combining the importance weights corresponding to the same subject in different subject sets as the confidence coefficient of the subject; and screening the total subject set according to the confidence coefficient of each subject. According to the high-level talent subject evaluation method based on big data analysis, the subject direction of high-level talents can be scientifically and reasonably evaluated.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for evaluating high-level talent disciplines based on big data analysis. Background technique [0002] Talent is an indispensable part of the current social development process, and it plays a very important role in human civilization and social progress. Among them, the role that high-level talents can play is even greater, and they can improve the construction of human material and spiritual civilization. Therefore, the evaluation of high-level talents is of great significance. [0003] The existing discipline evaluation methods for high-level talents are generally judged according to the discipline in which the papers are published, and the journal judgment method is used to attribute all the papers published by a certain journal to a certain discipline, which is extremely inaccurate. At the same time, the disciplines in which high-level talents publish papers are not...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10G06F16/33
CPCG06Q10/0639G06Q10/105G06F16/334
Inventor 林世清徐涛
Owner 杭州青塔科技有限公司
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