| 摘 要: 为解决当下人才信息评定难度大，筛选过程复杂、筛选效率低下等问题，提出并实现了基于Spring Cloud(分布式服务)的人才智库遴选系统。系统采用Spring Cloud框架，由于不同领域的人才评估指标的侧重有所不同，根据人才智库的建设及对人才信息评定的需求，文章主要针对科研型人才构建人才标签，从基础信息、个人经历、荣誉资质三个方向进行评估，同时使用图数据库存储海量的人才数据及人才之间的关联关系。以国家“千人计划”的人才评定为例，通过将人才信息进行标签化处理，并通过特定的评定流程对人才数据进行评估，旨在建立起科学、客观的人才评定体系，并能对评定出的人才数据进行相应的遴选。 |
| 关键词: 人才智库；人才遴选；人才评定；Spring Cloud；图数据库 |
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中图分类号: TP311.5
文献标识码: A
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| 基金项目: 浙江省重点研发计划项目(2022C01207). |
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| Design and Implementation of Talent Think Tank Selection System based on Spring Cloud |
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HUANG Jing, ZHU Xu
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(School of Information, Zhejiang Sci-Tech University, Hangzhou 310018, China )
syhj_sy@163.com; zhiyitec@qq.com
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| Abstract: In order to solve the problems of difficult talent information evaluation, complex screening process and low screening efficiency, this paper proposes and implements a talent think tank selection system based on Spring Cloud (distributed service). Spring Cloud framework is adopts in the system. Due to the different emphasis of talent evaluation indicators in different fields, considering the construction of talent think tank and the needs for talent information evaluation, talent tags for scientific research talents are mainly constructed in the paper, and evaluation is carried out from three aspects: basic information, personal experience, and honor and quality. At the same time, the graph database is used to store massive talent data and the relationship between talents. Taking talents evaluation of the National "Thousand Talents Program" as an example, talent information is tagged and evaluated through a specific evaluation process, with the aim of establishing a scientific and objective talent evaluation system, and selecting the evaluated talent data accordingly. |
| Keywords: talent think tank; talent selection; talent assessment; Spring Cloud; figure database |
