基于k均值聚类和特征树的推荐算法在人力资源信息系统中的应用研究

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI:10.1109/ISAIAM55748.2022.00008

Xiaoyan Chen

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引用次数: 0

摘要

为了提高人力资源推荐系统的效率，提出了一种基于Spark平台的K-means聚类算法来完成人力资源推荐。聚类速度;研究了当前大数据背景下的信息系统开发技术，利用SpringBoot、Mybatis等技术构建了大数据背景下的人力资源管理系统。

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Application Research of Recommendation Algorithm Based on K-Means Clustering and Feature Tree in Human Resource Information System

In order to improve the efficiency of the human resources recommendation system, a K-means clustering algorithm based on the Spark platform is proposed to complete the human resources recommendation. Clustering speed; studied the information system development technology under the current big data background, and used SpringBoot, Mybatis and other technologies to build a human resource management system under the big data background.

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2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)

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